This service represents North Carolina's rail lines, railroad facilities and railroad crossings provided by the NCDOT Rail Division.Rail Lines — Includes line features that represent all standard gauge freight and passenger railroad track in North Carolina. The linework was digitized based on the most recent statewide aerial photography provided by the State of North Carolina. Select segments representing out of service track have been added to the dataset to aid in preserved and future corridor analysis.Railroad Facilities — Includes point features that represent the supporting infrastructure that is used by the rail industry to conduct ongoing rail operations such as railroad yards, rail stations, intermodal and transload facilities.Railroad Crossings — Includes point features that represent public and pedestrian crossings in North Carolina. Only open and inactive crossings are included; closed crossings have been omitted. Crossing location and status were verified by cross-referencing Federal Railroad Administration public crossing database with North Carolina Department of Transportation Rail Division's crossing database, railroad company track charts and aerial imagery. Where in doubt, crossing status has been investigated by contacting the rail company, landowner, or municipality within whose jurisdiction the crossing falls.MetadataThe metadata for the contained layer of the NCDOT Rail System Service is available through the following link:Railroad TrackRailroad FacilitiesRailroad CrossingsPoint of Contact North Carolina Department of Information Technology -Transportation, GIS UnitGIS Data and Services ConsultantContact information:gishelp@ncdot.govCentury Center – Building B1020 Birch Ridge DriveRaleigh, NC 27610Hours of service: 9:00am - 5:00pm Monday – FridayContact instructions: Please send an email with any issues, questions, or comments regarding the Rail System data. If it is an immediate need, please indicate as such in the subject line in an email.NCDOT GIS Unit GO! NC Product Team

Definition For the purposes of this dataset, Rail or Railway is defined as: A transportation system using one or more rails to carry freight or passengers. Abstract The Foundation Rail Infrastructure feature dataset is part of the Foundation Spatial Data Framework theme for Transport. The Foundation Rail Infrastructure feature dataset is specifically made up of Rail line features (Railways, Rail Sidings and Tramline including Light Rail) and Rail points (Stations). This feature class represents a national aggregation of the spatial locations and attributes of line and point features, of publicly available data. Rail Infrastructure information has been derived from various sources provided by data custodians including Spatial Services (NSW), Department of Natural Resources, Mines and Energy (QLD), Department of Environment, Land, Water and Planning (VIC), Land Tasmania (TAS) and Department of Infrastructure and Transport (SA). The coverage is across all states and territories however due to restrictive licensing, Geoscience Australia data was used as the source data for Western Australia (lines and points), the Northern Territory (lines and points) and South Australia (points). Data published by Victoria falling within South Australia has been included (points). Further information on datasets provided by State and Territory custodians can be found under Source Information in this metadata statement. Currency Date modified: 7 June 2021 Modification frequency: As needed Data extent Spatial extent North: -12.424680° South: -43.455040° East: 153.613384° West: 113.616611° Source information eCat published version at https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/145400 Lineage statement Data supplied to Geoscience Australia from the custodians was processed to perform geometry validation (checks to remove corrupt geometries) and transform the attribute values to the national schema. Minor spatial modifications have taken place to update attribute information in the source data for the national specification. During translation, the length of the features in kilometres was also calculated (LENGTH_KM) using a geodesic distance calculation. The Digital Atlas data team have republished and hosted the data as three separate layers:

Railways, Rail Sidings, Tram Lines.

The symbology applied displays the layers as operational or not operational, however queries can be performed using any operational status, refer to the data dictionary for filters and query options. The date of extraction May 2023. Data dictionary Railway Lines

Attribute name Description

OBJECTID Automatically generated system ID

FEATURESUBTYPE An identifier for the type of feature represented: 90015 — Railway90016 — Rail Siding90017 — Tramline

NAME The name of the feature

OPERATIONAL_STATUS The Operational status of the feature: Operational — Fully capable of operation.Abandoned — Not in operation due to it being non-functional and operation is not scheduled to be restored.Disused — Temporarily not in operation due to it being non-functional and operation is scheduled to be restored.Proposed — Proposed infrastructure.Unknown — There is no information specified regarding the attribute value.Other — The attribute value is known, but is not currently a valid member of the attribute range.Under Construction — The feature is currently being constructedClosed — The feature is currently closed for use or accessDismantled — The feature has been physically removed

FEATURE_DATE This is the date of the latest edit of the source data.

FEATURE_SOURCE This is the name of the latest source used to add, update or verify a features existence or position. In most cases, this would be imagery (satellite, orthophotography, World Imagery).

ATTRIBUTE_DATE This is the date of the latest source material used to initially assign, or subsequently change or confirm the value of, one of the attributes of the feature.

ATTRIBUTE_SOURCE This is the name of the latest source material used to populate the attribute field/s of a feature.

PLANIMETRIC_ACCURACY The standard deviation of the horizontal positional accuracy.

SOURCE_UFI The unique identifier of the feature as represented in the source.

SOURCE_JURISDICTION The jurisdiction of the feature source.

CUSTODIAN_AGENCY The agency or organisation for the source of this feature.

CUSTODIAN_LICENCING Specific licensing relating to this feature.

LOADING_DATE Date of data loaded into national model.

SOURCE_SUPPLY_DATE Date of source supply to Geoscience Australia for loading into the national schema, usually the date the data is downloaded from the custodian site

TRACK_GAUGE The gauge is the spacing of the rails on a railway track and is measured between the inner faces of the load-bearing rails. Not Applicable — Gauge is not applicable for this featureStandard: 1435mm — Standard gaugeBroad: 1600mm — Broad gaugeNarrow: 1067mm — Narrow gaugeLight — Light rail gaugeOther — A different type of rail gaugeUnknown — The gauge is not known for this featureStandard-Broad — The feature has a mix of both standard and broad gaugesStandard-Narrow — The feature has a mix of both standard and narrow gauges

GROUND_RELATIONSHIP The relative relationship of the railway to the ground. Unknown — Relationship to the surface is unknownOnBridge — The feature utilises a bridgeInTunnel — The feature is a tunnel through the groundOn Ground — The feature is located on the groundOther — Other relationship exists for the feature

TRACKS The number of railway tracks the feature represents. Unknown — It is not known how many tracks the feature representsSingle — The feature represents a single railway trackMultiple — The feature represents multiple railway tracksNot Applicable — Tracks is not applicable to this feature

LENGTH_KM The length of the feature in kilometres (calculated by projecting SHAPE_LENGTH in the source data).

ALTERNATIVE_NAME An alternative name for the feature or section name.

OWNER The owner of the feature.

SHAPE_Length Automatically generated length in decimal degrees.

Known Limitations of the Data These data have some known issues. The content and quality of the data varies on the state provider. Contact Geoscience Australia, clientservices@ga.gov.au

The statistic shows the number of freight cars in service (owned and leased) of U.S. class I railroads at the end of the year 2009. Union Pacific had ****** owned and leased freight cars in service in 2009. The Union Pacific Railroad is the largest railroad network in the U.S. Its route map covers most of the central and western United States.A class I railroad in the U.S. is a large freight railroad company, as classified based on operating revenue. Smaller railroads are classified as class II resp. class III.

Segmentation of the rail network according to the characteristics of the infrastructure and the possibilities of operation. This list includes the route and technical characteristics of the line sections. Important note: These data are to be associated with the data set of the network's Operational points.. It geolocates the start and end points of the sections whose identifiers and abbreviations are given in this dataset. These data are intended to allow schematic representations of the Belgian rail network (i.e. for a maximum scale of 1/25 000). For a more precise geolocation of the main tracks, we recommend the following dataset: List and geographical position of the main tracks. These data are also published in the European Register of Infrastructure (RINF) This dataset mainly contains the technical characteristics of the line sections in terms of gauge, electrical installation and the type of rail traffic allowed. The codes used are listed and explained in the following reference documents: Abbreviations of the BTS. The Book of the Train Service, is part of the Network Statement, which can be consulted on our corporate website. The NBN EN 15273-3 norm explains, among other things, the Belgian and interoperable minimum size codes. The codes C400,C70,P400 and P70 refer to the codes of the UIC 596-6 leaflet “Conditions for coding intermodal transport units in combined transport, combined transport lines and wagons”

On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes:

Background:

Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement:

Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner.

Instrumented Sites: Railroad Valley Playa, USA is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner. In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.

The Ontario Railway Network (ORWN) is seven data classes that represent the Ontario government’s initiative to adapt the federal GEOBASE standard for the National Railway Network (NRWN) geospatial data.

The seven data classes include:

ORWN Track (Download: Shapefile | File Geodatabase) ORWN Crossing (Download: Shapefile | File Geodatabase) ORWN Junctions (Download: Shapefile | File Geodatabase) ORWN Marker Posts (Download: Shapefile | File Geodatabase) ORWN Structure Lines (Download: Shapefile | File Geodatabase) ORWN Structure Points (Download: Shapefile | File Geodatabase) ORWN Station (Download: Shapefile | File Geodatabase)

Although mainly used as a base data features appearing on cartographic products, users will benefit from having additional railway-associated attributes available to them in the ORWN suite of data.

Additional Documentation

ORWN - User Guide (Word)

ORWN Track - Data Description (PDF)ORWN Track - Documentation (PDF)ORWN Crossing - Data Description (PDF)ORWN Crossing - Documentation (Word)

ORWN Junction - Data Description (PDF)ORWN Junction - Documentation (Word)ORWN Marker Post - Data Description (PDF)ORWN Marker Post - Documentation (Word)

ORWN Structure Line - Data Description (PDF)

ORWN Structure Line - Documentation (Word)ORWN Structure Point - Data Description (PDF)ORWN Structure Point - Documentation (Word)ORWN Station - Data Description (PDF)ORWN Station - Documentation (Word)

Status

Required: data needs to be generated or updated

Maintenance and Update Frequency

Not planned: there are no plans to update the data

Contact

Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

Valley Metro light rail serves the cities of Phoenix, Tempe, and Mesa, while the streetcar serves downtown Tempe. Construction of the light rail began in March 2005 and operations started in December 2008. Construction of the Tempe Streetcar began in 2017, with operations beginning in May, 2022. The Light Rail Trains (LRT) operate on city streets mostly using a "center reservation" system, whereas some areas of the system have no contact with other traffic. The LRTs have a maximum speed of 58 mph, but usually operate at a much slower speed due to traffic interfaces and stopping for boardings and alightings. The Tempe Streetcar serves 14 stops along 3 mines of track in downtown Tempe and along the edge of the Arizona State University (ASU) Downtown campus. Both systems are powered by an overhead catenary electric system. Historically, the Phoenix Street Railway, founded by Moses Sherman, provided streetcar service from 1887 to 1948. Mr. Sherman is most notably remembered for creation of the Los Angeles Railway and Pacific Electric Railway in Los Angeles, CA, as well as development in West Los Angeles, the San Fernando Valley, and Hollywood, CA. https://en.wikipedia.org/wiki/Valley_Metro_Rail and https://en.wikipedia.org/wiki/Tempe_Streetcar and https://www.valleymetro.org/maps-schedules/rail

The Information technology Department (ITD) contracted GPI Geospatial, Inc. (GPI) LB 6748, operating under the authority of Miami-Dade County Aviation Department, as per contract number E15-MDAD-01 for the development of this version of the Rail layer.This planimetric layer has been created to illustrate the railroad lines within the Urban Development Boundary (UDB) and outside the UDB, approximately 938 square miles. All linework was collected from the Woolpert 2019 orthophotography. This feature class is considered a new rail feature class instead of an update to the existing layer. All railroads within the area of interest were included. Linework was digitized in segments with attributes: RAIL_ELEVATION and SEGMENT_TYPE. Values for field RAIL_ELEVATION = {тАЬGroundтАЭ, тАЬElevatedтАЭ} where: тАЬGroundтАЭ = Railroad segment is built on the ground; тАЬElevatedтАЭ = Railroad segment is not built on the ground.Values for field SEGMENT_TYPE = {Rail-Street_Intersection, Railroad_Bridge, Railroad_Station}; where: Rail-Street _Intersection = Segment of railroad that intersects road. Railroad_Bridge= Intended for actual Railroad Bridges, not just any elevated railroad segment. Railroad_Station = Segment of the railroad in the vicinity/area of the physical building of a station.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The USGS Transportation downloadable data from The National Map (TNM) is based on TIGER/Line data provided through U.S. Census Bureau and supplemented with HERE road data to create tile cache base maps. Some of the TIGER/Line data includes limited corrections done by USGS. Transportation data consists of roads, railroads, trails, airports, and other features associated with the transport of people or commerce. The data include the name or route designator, classification, and location. Transportation data support general mapping and geographic information system technology analysis for applications such as traffic safety, congestion mitigation, disaster planning, and emergency response. The National Map transportation data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and structure ...

The Washington State Department of Transportation (WSDOT) developed this data set in fulfillment of a grant from the Federal Highway Administration (FHWA) to test a conceptual climate risk assessment model developed for transportation infrastructure. WSDOT applied the model using scenario planning in a series of statewide workshops, using local experts, to create qualitative assessment of climate vulnerability on its assets in each region and mode across Washington. For the purposes of this statewide effort, managed assets were defined as sections of highway or railroad, and whole facilities (Ferry Terminal or Airport). Fourteen workshops engaged experts across all WSDOT regions, state ferries, rail, and aviation. The outcome of each workshop was a subjective evaluation of asset vulnerability agreed upon by participants. This feature class contains the results for railroads. This study assumed 100% probability of climate change impacts previously identified in the University of Washington Climate Impacts Group's 2009 assessment. Types of impacts discussed in the workshops with local experts included: temperature changes, increase in extreme weather events, precipitation changes, sea level rise, fire risk, and high winds. The scientific community's understanding of climate impacts continues to evolve as the models and collective understanding of feedback systems improve. We do not have perfect information about exactly how, when, where, and to what magnitude climate changes will unfold in Washington State. After reviewing the extreme weather events and other impacts projected for their area, workshop participants defined sections of highway, rail, or specific facilities with consideration of the local geology, natural and constructed drainage and hydrology, elevation, slope, land use and operational maintenance issues. Once defined, each corridor or facility was then ranked for two variables: asset criticality and potential impact. Asset criticality (which was defined by the workshop participants) should not be confused with other measures such as highway functional class. 1) How critical is that site or corridor to overall transportation operations and public safety? The following scale guided the qualitative assessment of criticality: a. 1-3 = Low - facility/corridor with low daily traffic, available alternate routes, not part of the National Highway System b. 4-6 = Medium - facility/corridor has low to medium daily traffic, serves as an alternate route of other state corridors or facilities c. 7-10 = High - facility/corridor is an Interstate or other major highway, is considered a lifeline route or is the sole access to a population center or critical facility. 2) How might potential climate changes impact site or corridor operations? The following scale guided the assessment of climate impacts: a. 1-3 = Low - Reduced Capacity: facility/corridor partially open to use and full operations can be restored within 10 days b. 4-6 = Medium - Temporary Operational Failure: Facility/corridor closed for hours or days. Reopening or repair could be completed within 60 days. c. 7-10 = High - Complete Failure: facility/corridor likely to require major repair or rebuild with closures lasting more than 60 days These qualitative rankings for impacts and asset criticality and some general descriptions were captured in spreadsheets that were later used to create GIS layers. This data is intended for use in statewide or regional planning and to assist in adapting maintenance and engineering policies and practices to protect our transportation infrastructure over the coming decades. The rankings here were based on our knowledge and understanding at the time of the study, and should only be taken as a best professional estimate for considering potential conditions that might put people or infrastructure at risk. Current information about projected climate changes and asset use and condition should always be taken into account, especially as time progresses.

Contained within the 1st Edition (1906) of the Atlas of Canada is a map that shows the Canada's transcontinental rail network, including the ownership of these lines. The portions of the main lines of the Grand Trunk, Grand Trunk Pacific, Canadian Pacific and Mackenzie and Mann (Canadian Northern) railway companies are shown as being in operation, under construction and projected systems. This is represented as either red, green, or blue, solid or dashed lines. Major rail lines in the U.S controlled by Canadian operators are also shown.

As part of the implementation of SRADDET, Cerema administers the database of observations of collisions with wildlife on the road and rail networks of Auvergne-Rhône-Alpes. This database aggregates the data collected from the various partners, in a protocolized or opportunistic way. From the information collected, Cerema uses this data, with the aim of improving knowledge of wildlife / vehicle conflict points on a regional scale, and to inform the implementation of public restoration policies. ecological continuities. For each section described, the number and linear density of collisions observed are indicated, with a breakdown by family of animals (large mammals, small mammals, birds, reptiles and amphibians. The collision data providers are: - SNCF Réseau, - Motorway companies: APRR, AREA and ATMB, - The Departmental Councils of Allier and Isère, - The Interdepartmental Roads Directorates (DIR) of Centre-East, Centre-West, Massif Central, Mediterranean, - The Federation Régionale des Chasseurs AuRA (FRC), - The League for the Protection of Birds AuRA (LPO), - The PNRs of Livradois-Forez & Pilat This operation benefits from the financial support of the Auvergne-Rhône-Alpes Region.

This dataset provides WCAG 2.0 compliant wayfinding maps for 13 Metro Stations along the Metro North West Line, including 8 new metro stations and 5 upgraded stations.\r \r \r Metro services are high-frequency, driverless trains, which can quickly take you between stations operating every 4 minutes in peak times.\r \r \r Each map displays the transport connections, customer assistance available, facilities available, tap on / tap off points, and lift / escalator locations.\r \r \r The line is being extended into the Sydney CBD and beyond, in 2024.\r \r \r Note:\r \r * 13 new WCAG 2.0 compliant wayfinding maps have been added for the Chatswood to Sydenham extension, including 6 new station & local area maps and 7 existing station & local area maps in July 2024.\r \r * The M1 route, Metro North West & Bankstown Line will commence operations August 2024.\r \r

Geolocated schematic representation of the current equipment of the Infrabel network with ETCS or equivalent. The ETCS (European Train Control System) is an automatic European safety system that greatly reduces the risk of a train passing at red signal. Excessive speed, which is the cause of many train accidents, also becomes virtually impossible. Both the train and the infrastructure must be equipped with ETCS. Infrabel has an ETCS Masterplan, which aims to deploy ETCS on the entire railway network. The ambition is that every trains in Belgium will only run with ETCS by the end of 2025. The Masterplan indicates which railway line will be equipped with ETCS and at which level. There are indeed several ETCS levels and Infrabel has chosen to implement a combination of the following levels: ETCS 1 LS (Limited Supervision)The driver's cab of the train receives information about signals and speed limits through waves emitted by fixed beacons installed on the tracks. The driver does not see this information, he relies on the signalisation on the train's route but if he makes a mistake, the system intervenes and brakes the train. ETCS 1 FS (Full Supervision)The driver's cab of the train receives information about signals and speed limits through waves emitted by fixed beacons installed on the tracks. And this information is visible from the driver's seat. ETCS 2 FS (Full Supervision)Information about signals and speed limits is no longer provided by the beacons on the route but by GSM-R masts along the tracks. The train driver can rely only on the information he receives continuously in his driver's cab. ETCS1+2 FS (Full Supervision)The train driver receives signal and speed information in the driver's cab. The information comes either from the beacons or from the GSM-R masts. This system is installed on high-speed lines 3 (to Germany) and 4 (to the Netherlands). TVM-430 (Transmission Voies-Machine) This is a French system implemented only on high-speed line 1 between Lembeek and the French border. The operation is similar to ETCS. The driver's cab picks up a signal transmitted by the tracks, informing the driver of his speed in relation to the authorised speed limit.

The federal government and the European Union support the implementation of ETCS on the Belgian railway network by granting subsidies. ETCS level 1 Full Supervision : Deployment on Corridor C (freight axis from the port of Antwerp via Leuven and Namur to Athus) Deployment on line 10 and line 36C/2 Deployment on section Ans-Angleur, line 36/37 ETCS level 2 ETCS niveau 2 Full Supervision : Deployment of a generic design including on the pilot line Deinze - Waregem Deployment on line 12 section Kapellen-Essen Deployment on line 162 section Libramont-Autelbas Deployment on line 59 section Beveren-Berchem Deployment on line 16 section Lier-Aarschot Deployment on line 50A section Bruges - Ghent-Saint-Pierre Deployment on line 35 section Aarschot-Leuven

The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in table 1. Distances indicate the minimum distance from each feature for commercial scale wind developmentAttributes: Steeply sloped areas: change in vertical elevation compared to horizontal distancePopulation density: the number of people living in a 1 km2 area Urban areas: defined by the U.S. Census. Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool Major highways: available from ESRI Living Atlas Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool

The Onboard Passenger Information System (PIS) market is experiencing robust growth, driven by increasing passenger demand for real-time information and enhanced travel experiences. Technological advancements, such as the integration of smart displays, interactive maps, and Wi-Fi connectivity, are fueling market expansion. Furthermore, government regulations mandating improved passenger safety and accessibility are contributing to the adoption of sophisticated PIS solutions across various transportation modes, including rail, buses, and aviation. While the precise market size for 2025 is unavailable, considering a plausible CAGR of 8% (a reasonable estimate given industry trends) and a hypothetical 2025 market value of $2 billion, we can project a substantial increase over the forecast period (2025-2033). This growth trajectory reflects a rising focus on passenger comfort, efficiency, and the need for seamless travel information dissemination. The key players in the market, including EKE-Electronics, Teleste Corporation, Atos SE, and others, are actively developing innovative solutions to cater to the evolving needs of the transportation industry. Competition is intense, leading to continuous improvements in product features, functionalities, and cost-effectiveness. Challenges remain, including the high initial investment cost for implementing PIS systems, particularly in developing countries. However, the long-term benefits of improved passenger satisfaction, enhanced operational efficiency, and increased safety outweigh these initial barriers, ensuring the continued expansion of the onboard passenger information system market in the coming years. Considering a conservative estimation, the market is projected to reach approximately $3.5 billion by 2033, fueled by consistent technological innovation and increasing regulatory mandates across the globe.

Names and locations of metro stations in Riyadh city by metro line and station type, for the year 2025. This dataset can be displayed as a map layer, alongside other geospatial datasets such as the metro line.1.MethodologyThe name and location of stations are extracted from the information system of the Transit systems Riyadh metro package 3.2.Definition(s)Metro: The metro of Riyadh is part of King Abdulaziz Public Transport Project which comprises six fully-automated (UTO) Metro lines, a Bus Rapid Transit (BRT) System, and an extensive network of community and feeder buses.Public Transport: a system of vehicles such as buses and trains that operate at regular times on fixed routes and are used by the public.3.Detailed breakdownStation code: the metro station technical code (only visible in the downloaded version of the dataset)Station name: the metro station's nameMetro line: the number of the metro line, from 1 to 6.Metro line name: the name of the metro line composed of the line number and its line pathStation type code: code of the station type (only visible in the downloaded version of the dataset)Station type: the description of the four metro station type, Elevated, at grade, shallow underground and deep undergroundSequence of the stops: The sequential order of stations along each public transportation line.Geographical coordinates (only visible in the downloaded version).Comments: The Open Data Team comments on the metadata published4.Updates2025.03.26 Records have been reordered to match the order of stations along each metro line and the following records have been erased: 74,4D1,Princess Nourah University 1,جامعة الأميرة نورة 1 , 76,4E 1,Princess Nourah University 2,جامعة الأميرة نورة 2 , 94,4G1,Terminal 5 ,الصالة 5 , 92,4G2,Terminal 3-4, الصالة 3-4 , 90,4G3,Terminal 1-2, الصالة 1-2 for metro line 6.2025.07.03 The column "Metro line name" has been added.DsetIdx: >>118.

The rail stations in California existing passenger rail system. All station information was compiled from Amtrak Operating Timetable 45 and commuter rail websites for Metrolink, ACE, Caltrain, and Coaster.

This map showcases Emergency Service Districts (ESD) across Montgomery County, Texas, superimposed on a detailed street map that includes roads, railroads, rivers, lakes, and municipal boundaries. The ESD boundaries are essential for emergency service planning and operations within the county, providing crucial geographic context for public safety and emergency response efforts. Key features of the map include:Emergency Service Districts (ESD) (Montgomery Central Appraisal District - MCAD)Roads (Montgomery County Emergency Communications District)Railroads (Texas Department of Transportation - TxDOT)Rivers and Lakes (United States Geological Survey - USGS)Municipal Boundaries (Montgomery Central Appraisal District - MCAD)Sam Houston Trails and Paths (US Forest Service)This map is optimized for printing at Arch E size (36x48 inches) and is available in Adobe PDF format. Users may need Adobe Acrobat for viewing and printing.Update Frequency: AnnuallyAccess Requirements: Access to this map is open to the public and stakeholders interested in Montgomery County's transportation infrastructure and natural environment.

Logging systems, temporary roads, haul routes, areas designated as potential wet weather operation and haul and haul routes are displayed for a Map Tour within the Burnt Creek Salvage story map. The Map Tour highlights the proposed 19 units within the project area with a photo of each unit and details about the logging systems and proportion of Oregon & California Railroad lands.