During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles.Intersection Situation Data (ISD) data set communicates MAP and signal phase and timing (SPaT) information. MAP information communicates an intersection’s location (latitude and longitude), elevation, and geometric features such as approaches and lane configuration. SPaT data communicates the (current) state of the intersection’s signal indication(s). The data is composed of discrete Row Groups. A Row Group is a collection of (approximately 3-4) consecutive rows with common attribute. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. Traveler Situation Data (TSD) was obtained from the data warehouse, and not the data clearinghouse. Only 19 messages were obtained from our query as the current mode of operation of the Test Bed is that the warehouse only contains a few static messages, which are meant to serve as a proxy for future operation in which query submissions will only return message(s) relevant to the context in which the query was submitted. The messages that returned per a query submission communicates a pertinent advisor message which is in part contextualized by location and content. NOTE: All Extra Files are attached in 2014 ITS World Congress Connected Vehicle Test Bed Demonstration Vehicle Situation Data

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

During the 2014 ITS World Congress a demonstration of the connected vehicle infrastructure in the City of Detroit was conducted. The test site included approximately 14 intersections around Detroit’s COBO convention center and involved 9 equipped vehicles. The Vehicle Situation Data (VSD) data set includes a series of data files that recorded vehicle situational data that were generated by an equipped vehicle. During the ITS World Congress, VSDs were encoded with one of two schemas. The dataset contains decoded data using both 2.0 and 2.1 ASN.1 schemas.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

The Highway Performance Monitoring System (HPMS) compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially‐enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

This dataset provides **Bus Guides** for 13 Metro Stations along the Sydney Metro North West Line, including 8 new metro stations along the Chatswood to Sydenham extension due to commence August 2024. Each guide displays a table with all the Bus routes including the destination description and stand section and a Bus Map.

Scottish Natural Heritage (SNH) has prepared a consolidated spatial dataset of ‘carbon rich soil, deep peat and priority peatland habitats’ in Scotland derived from existing soil and vegetation data (James Hutton Institute1:25,000 and 1:250,000 scale soil data and Land Cover Scotland 1988. Used with the permission of The James Hutton Institute. All rights reserved). The resulting Carbon and Peatland map updated earlier work undertaken by SNH for the identification of natural heritage features of national importance available from Scotland’s soil website. The map is a high-level planning tool to promote consistency and clarity in the preparation of spatial frameworks by planning authorities. The map is a predictive tool which provides an indication of the likely presence of peat on each individually-mapped area, at a coarse scale. The types of peat shown on the map are carbon-rich soils, deep peat and priority peatland habitat.

UPDATE: Data no longer available from this page. All non-working links have been removed (19/7/21) Users must follow instructions below from NASA to access data: SRTM data are also available globally at 1 arc second resolution (SRTMGL1.003) through the Data Pool (https://e4ftl01.cr.usgs.gov/MEASURES/SRTMGL1.003/) or from EarthExplorer where it is listed as NASA SRTM3 SRTMGL1. Please sign in with NASA Earthdata Login Credentials to download data from the NASA LP DAAC Collections. These datasets require login on both NASA Earthdata and USGS EarthExplorer systems to access data. After you create your account, you will also need to “authorize” the LP DAAC Data Pool application. On the Profile page in your Earthdata account you will need to select My Applications. On that page make sure the LP DAAC Data Pool is listed. If it isn't then select Authorize More Applications. In the dialog box type in LP DAAC Data Pool and click Search For Applications. Select Approve when presented with the lpdaac_datapool. Keep everything checked but you can uncheck the Yes, I would like to be notified box. Select Authorize and the LP DAAC Data Pool should be added to your Approved Applications. You might benefit from using the AppEEARS tool. · o AppEEARS landing page: https://lpdaacsvc.cr.usgs.gov/appeears/ · o The users will need and https://urs.earthdata.nasa.gov/?_ga=2.148606453.334533939.1615325167-1213876668.1613754504. Click or tap if you trust this link.">Earthdata Login · o Getting started instructions can be found here: https://lpdaacsvc.cr.usgs.gov/appeears/help Previously available here: Digital Elevation Model of Ireland, from NASA's Shuttle Radar Topography Mission (SRTM), sampled at 3 arc second intervals in latitude & longitude (about every 90m) in heightmap (.HGT) format.''Latitudes & longitudes are referenced to WGS84, heights are in meters referenced to the WGS84/EGM96 geoid.'' Please see the linked pdf files for further documentation.''A QGIS project for the hgt files is also attached.

The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors identify high-wind areas for wind power generation virtually anywhere in the world, and then perform preliminary calculations. The Global Wind Atlas facilitates online queries and provides freely downloadable datasets based on the latest input data and modeling methodologies. Users can additionally download high-resolution maps of the wind resource potential, for use in GIS tools, at the global, country, and first-administrative unit (State/Province/Etc.) level in the Download section. Information on the datasets and methodology used to create the Global Wind Atlas can be found in the Methodology and Datasets sections.

This dataset provides Local Area Guides for 13 Metro Stations along the Sydney's Metro North West Line. Each guide displays a local area map with an approximate 600m radius around the Metro station capturing bus stands, facilities, tickets and destinations. **Note:** * 12 new WCAG 2.0 compliant wayfinding maps have been added for the Chatswood to Sydenham extension, including 6 new station & local area maps and 6 existing station & local area maps in July 2024. * The M1 route, Metro North West & Bankstown Line will commence operations Sunday 4 August 2024. For an interactive guide to each of these Metro stations visit [https://transportnsw.info/travel-info/ways-to-get-around/metro#/](https://transportnsw.info/travel-info/ways-to-get-around/metro#/).

The data attached and/or displayed were collected during the Multi-Modal Intelligent Transportation Signal Systems (MMITSS) study. MMITSS is a next-generation traffic signal system that seeks to provide a comprehensive traffic information framework to service all modes of transportation. A BSM is one of the messages belonging to the Society of Automotive Engineers (SAE) J2735 Standard. This standard is geared toward supporting the interoperability of DSRC applications through the use of a standardized message set and its data frames and data elements. A BSM, which is at times referred to as a “heartbeat” message, is a frequently transmitted message (usually at approximately 10Hz) that is meant to increase a vehicle’s situational awareness. These messages are intended to be used for a variety of applications to exchange safety data regarding a vehicle’s state. A typical BSM contains up to two parts. Part I, the binary large object (blob), is included in every BSM. It contains the fundamental data elements that describe a vehicle’s position (latitude, longitude, elevation) and motion (heading, speed, acceleration). Part II of a BSM contains optional data that is transmitted when required or in response to an event. Typically Part II contains data that serves as an extension of vehicle safety information (path history, path prediction, event flags) and data pertaining to the status of a vehicle’s components, such as lights, wipers, and brakes. NOTE: All extra attachments are located in Multi-Modal Intelligent Traffic Signal Systems Basic Safety Messages such as MAP, Detectors, and Simulation results

The data attached and/or displayed were collected during the Multi-Modal Intelligent Transportation Signal Systems (MMITSS) study. MMITSS is a next-generation traffic signal system that seeks to provide a comprehensive traffic information framework to service all modes of transportation. A BSM is one of the messages belonging to the Society of Automotive Engineers (SAE) J2735 Standard. This standard is geared toward supporting the interoperability of DSRC applications through the use of a standardized message set and its data frames and data elements. A BSM, which is at times referred to as a “heartbeat” message, is a frequently transmitted message (usually at approximately 10Hz) that is meant to increase a vehicle’s situational awareness. These messages are intended to be used for a variety of applications to exchange safety data regarding a vehicle’s state. A typical BSM contains up to two parts. Part I, the binary large object (blob), is included in every BSM. It contains the fundamental data elements that describe a vehicle’s position (latitude, longitude, elevation) and motion (heading, speed, acceleration). Part II of a BSM contains optional data that is transmitted when required or in response to an event. Typically Part II contains data that serves as an extension of vehicle safety information (path history, path prediction, event flags) and data pertaining to the status of a vehicle’s components, such as lights, wipers, and brakes. NOTE: All extra attachments are located in Multi-Modal Intelligent Traffic Signal Systems Basic Safety Messages such as MAP, Detectors, and Simulation results

The data attached and/or displayed were collected during the Multi-Modal Intelligent Transportation Signal Systems (MMITSS) study. MMITSS is a next-generation traffic signal system that seeks to provide a comprehensive traffic information framework to service all modes of transportation. A BSM is one of the messages belonging to the Society of Automotive Engineers (SAE) J2735 Standard. This standard is geared toward supporting the interoperability of DSRC applications through the use of a standardized message set and its data frames and data elements. A BSM, which is at times referred to as a “heartbeat” message, is a frequently transmitted message (usually at approximately 10Hz) that is meant to increase a vehicle’s situational awareness. These messages are intended to be used for a variety of applications to exchange safety data regarding a vehicle’s state. A typical BSM contains up to two parts. Part I, the binary large object (blob), is included in every BSM. It contains the fundamental data elements that describe a vehicle’s position (latitude, longitude, elevation) and motion (heading, speed, acceleration). Part II of a BSM contains optional data that is transmitted when required or in response to an event. Typically Part II contains data that serves as an extension of vehicle safety information (path history, path prediction, event flags) and data pertaining to the status of a vehicle’s components, such as lights, wipers, and brakes. NOTE: All extra attachments are located in Multi-Modal Intelligent Traffic Signal Systems Basic Safety Messages such as MAP, Detectors, and Simulation results

The data attached and/or displayed were collected during the Multi-Modal Intelligent Transportation Signal Systems (MMITSS) study. MMITSS is a next-generation traffic signal system that seeks to provide a comprehensive traffic information framework to service all modes of transportation. A BSM is one of the messages belonging to the Society of Automotive Engineers (SAE) J2735 Standard. This standard is geared toward supporting the interoperability of DSRC applications through the use of a standardized message set and its data frames and data elements. A BSM, which is at times referred to as a “heartbeat” message, is a frequently transmitted message (usually at approximately 10Hz) that is meant to increase a vehicle’s situational awareness. These messages are intended to be used for a variety of applications to exchange safety data regarding a vehicle’s state. A typical BSM contains up to two parts. Part I, the binary large object (blob), is included in every BSM. It contains the fundamental data elements that describe a vehicle’s position (latitude, longitude, elevation) and motion (heading, speed, acceleration). Part II of a BSM contains optional data that is transmitted when required or in response to an event. Typically Part II contains data that serves as an extension of vehicle safety information (path history, path prediction, event flags) and data pertaining to the status of a vehicle’s components, such as lights, wipers, and brakes. NOTE: All extra attachments are located in Multi-Modal Intelligent Traffic Signal Systems Basic Safety Messages such as MAP, Detectors, and Simulation results

The data attached and/or displayed were collected during the Multi-Modal Intelligent Transportation Signal Systems (MMITSS) study. MMITSS is a next-generation traffic signal system that seeks to provide a comprehensive traffic information framework to service all modes of transportation. A BSM is one of the messages belonging to the Society of Automotive Engineers (SAE) J2735 Standard. This standard is geared toward supporting the interoperability of DSRC applications through the use of a standardized message set and its data frames and data elements. A BSM, which is at times referred to as a “heartbeat” message, is a frequently transmitted message (usually at approximately 10Hz) that is meant to increase a vehicle’s situational awareness. These messages are intended to be used for a variety of applications to exchange safety data regarding a vehicle’s state. A typical BSM contains up to two parts. Part I, the binary large object (blob), is included in every BSM. It contains the fundamental data elements that describe a vehicle’s position (latitude, longitude, elevation) and motion (heading, speed, acceleration). Part II of a BSM contains optional data that is transmitted when required or in response to an event. Typically Part II contains data that serves as an extension of vehicle safety information (path history, path prediction, event flags) and data pertaining to the status of a vehicle’s components, such as lights, wipers, and brakes. NOTE: All extra attachments are located in Multi-Modal Intelligent Traffic Signal Systems Basic Safety Messages such as MAP, Detectors, and Simulation results

The NSW Rest Areas dataset provides information on rest area sites managed by Transport for NSW (TfNSW) and other authorities, including local councils and the National Parks and Wildlife Service (NPWS). The dataset includes details such as the rest area name, vehicle category, access direction, and different facilities, e.g. toilets, picnic tables, playground etc., that are available at each site. In early 2024, informal rest areas were excluded from the dataset. The dataset does not include TfNSW managed inspection bays or parking areas. In June 2024, 7 new rest areas were added and 39 rest areas were removed from the dataset. There have been data changes to the following attributes: responsible_authority, rest_area_name, site_status, carriageway_configuration, category, playground, litter_bins, shelter, bbq, picnic_table and toilets. The NSW Rest Areas dataset can be queried by API for use by the public and industry.

The Scottish Government maintains digital boundaries for the designated areas of Scotland's National Parks. Scotland currently has two National Parks, Cairngorms and Loch Lomond and the Trossachs. The aim of Scotland's National Parks is to deliver better management of areas of outstanding natural and cultural heritage. This is achieved by the conservation and enhancement of natural and cultural heritage, promotion of sustainable use of natural resources, promotion of public understanding and enjoyment (including recreation), and promotion of sustainable social and economic development of the communities of the area. These boundaries are used for the provision of relevant statistics and to inform policy development. Copyright Text: © Scottish Government, contains Ordnance Survey data © Crown copyright and database right 2010.

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

This dataset provides the location of primary, bulk supply (BSP) and grid supply (GSP) substations in the National Grid distribution network.

The NAEI compiles estimates of emissions to the atmosphere from UK sources such as cars, trucks, power stations and industrial plant. These emissions are estimated to help to find ways of reducing the impact of human activities on the environment and our health.