Maryland's Road Closure Reporter is a tool for Maryland's local jurisdictions to submit and manage authoritative road closures.Provided by the Maryland Department of Transportation (MDOT) and the Maryland State Highway Administration (MDOT SHA)

Right-of-way (ROW) permits help us plan and coordinate safe and effective use of our shared public roads, sidewalks, alley ways, and other thoroughfares. The term "public right-of-way" is used to describe land controlled by public agencies and includes streets, alleys, public sidewalks, curbs, and the area between the curb and sidewalk (the berm or green area), as well as the spaces above and below these ROW features. The vertically adjacent spaces are required for many uses of a right-of-way, including, for example to ensure overhead clearance for vehicles, and space for utility lines and other infrastructure objects. Work within the city's Right of Way is managed by the City Engineering Division of the Department of Public Works (DPW). In accordance with Detroit Code Section 43, Division 2, it is necessary to obtain a permit from the City Engineering Division, DPW prior to construction and other activities that will affect a street, alley, sidewalk, or berm/green area. This includes: + Construction that involves altering or blocking a ROW, including Installing utilities like water mains, gas lines, telecommunications lines, installing water or sewer taps, replacing sidewalks, driveway approach, and so on. + Occupying a ROW such that a temporary sidewalks,lane, or street closure is required, including for having a crane or other construction equipment in a ROW, filming, special events, dumpsters, and so on. + Oversized or Overweight Loads.Learn more at DPW Right of Way Permits and Standards..

Road Closure Datahttps://gis.charleston-sc.gov/road-closures-regional/The city began capturing road closure data in October 2015 while responding to the 1000 year flood event. Since then, the City has been refining the process to capture and retain a history of city street closures. Emergency closures are reported based on field reports from first responders and city staff operating in the field. This data is used for situation awareness during flooding events by staff and the public This is not a detailed and complete survey of inundated roads. Not all flooding events are actively mapped and not all streets impacted are captured.This information should be used as a general information tool. Tide and Weather DataTide and weather data is collected and processed from NOAA sources and joined to the road closures using the closure start date and time. The process of calculating the joining the tide and weather data is experimental and subject to change.NOAA Weatherhttps://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USW00013782/detailNOAA tide data api (station=8665530)https://api.tidesandcurrents.noaa.gov/api/prod/ Fields STREET – Street name as recorded by the mapper REASON – Flood, Construction, Emergency, Warning SOURCE – CPD, etc. Type – Full, partial, warning ROADCLOSUREDATE - Start Datetime ROADCLOSUREEND - End Datetime INDIDENTDATE - Start Date (no time) YEAR – Start Date Year RoadClosureHours – Calculated (Hours between start and end) CommuteHours – Calculated (6AM-10AM = Morning Commute and 3PM-7PM= Evening Commute) TideDate - Nearest High / Low tide time and date MinsUntilTide – Calculated (minutes from start to nearest High / Low tide past or future) FloodRisk Calculated for nearest high / low tide: >=8 (Major), >= 7.5 (Moderate), and >=7 (Minor) NearestHighLowTide – MLLW height of nearest high or low tide MaxTide – Highest MLLW tide of the day TideType – Tide type of nearest high or low tide TideHeight - nearest 6 minute tide reading MoonPhase - moon phase in decimal MoonPhaseDesc - Calculated <=.05 or = 1 = New Moon, between .45 and .6 = Full Moon, else Other DailyPrecipitation _Downtown – Noaa DailyPrecipitationCat_Downtown – Calculated rain categories Fastest2minWindDirection_Downtown - wind direction bearing Fastest2minWindSpeed_Downtown Fastest2minWindDirectionDesc_Downtown – calculated directionals FloodReason_6MIN– Downtown NOAA weather and 6 minute tide categories. High Tide / Rain: Rain > =.5 and tide >= 6’ , Rain / Non-High Tide: Rain >= .5’ and tide type = low , High Tide / No Rain: Rain < .5 AND tide >= 6’ , No Rain/Low Tide:FloodReason_Day – Using NOAA Max high tide for the day EventName – event name for named events

Increasing levels of human activity threaten wildlife populations through direct mortality, habitat degradation, and habitat fragmentation. Area closures can improve habitat quality for wildlife, but may be difficult to achieve where tourism or other economic drivers are a priority. Temporal closures that limit human use during specific times of day have potential to increase habitat quality for wildlife, while continuing to provide opportunities for human use. However, the effectiveness of daily temporal closures has not been tested. We assessed how implementation of a temporal road closure affected wildlife movements in Banff National Park. Parks Canada closed a popular 17 km stretch of road between 2000 and 0800 hours to improve habitat quality for wildlife. We assessed the effectiveness of the closure on nine mammal species using three sets of data: remote cameras, road surveys, and grizzly bear (Ursus arctos) GPS data. In all three analyses, wildlife detection rates on the road doubled during the closure while remaining unchanged in reference areas. Our strong and consistent results suggest temporal closures are an important conservation tool that can increase habitat quality for wildlife while minimizing effects on people.

Road Closures is a configuration of Web AppBuilder for ArcGIS that can be used by engineers and operations staff to track roadblocks or closures set up to control or block traffic along a road.Learn More: Local Government, State Government, Emergency Management

Localization of warnings such as road and bridge closures or incidents preventing free passage on a road segment or structure.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Data on traffic obstacles (street closures, roadworks, storms...)This third party metadata element was translated using an automated translation tool (Amazon Translate).

Data on traffic obstacles (street closures, roadworks, storms...)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset is not longer being updated. It was last compiled in 2019 and source features may be older than 2019. This dataset was produced as part of a pilot project to consider a proposed framework roads layer for the State of Idaho. This data set portrays road center lines of Idaho but it does not cover the entire state. During the pilot project this layer was updated weekly using an Extract, Transform, Load (ETL) process integrating data from stewards across the State of Idaho. Visit the Idaho Transportation Theme web page for more information.For a summary of the attribute information contained in the data set see the attribute descriptions and attribute list.The most recent data compilation: started at 3/9/2019 1:00:01 AMcompleted at 3/9/2019 1:51:08 AMtook 00:51:06 to runproduced this reportSee the Supplemental Information section of the metadata for a historical context.

LoD3 (Level of Detail 3) Road Space Models is CityGML dataset which contains road space models (over 50 building models) in the area of Ingolstadt.

There are several approaches to model Building in CityGML 2.0 (e.g. see Biljecki et al.). In our case, due to the acquisition geometry of MLS point clouds, the building objects consist of a very detailed representation of facade elements but on the other hand, it might lack roof elements and entities located in the Building's backyard. Thus, we encourage to see the list below for a detailed description of the Building in our Ingolstadt LoD3 dataset:

The building consists of:

• Ground Surfaces
• Roof Surfaces
• Wall Surfaces
• Outer Ceiling Surfaces
• Outer Floor Surfaces
• Closure Surfaces
• Windows modeled in detail
• Doors modeled in detail
• Building Installations (Balconies, Passages, Arcades, Loggias, Stairs and Porches, (Some) Dormers)
• Textures (approximated based on visual inspection)

Building does NOT consist of:

• Overhanging Building Elements
• Roof structure details
• Objects located in the Building's backyard (not facing the street)
• Building Installations (Chimneys, Rain Gutters, (Some) Dormers, Real (e.g. orthophoto) textures)

The terminology according to SIG3D.

To ensure the highest accuracy geometrically as well as semantically, the dataset was manually modeled based on the mobile laser scannings (MLS) provided by the company 3D Mapping Solutions GmbH (relative accuracy in the range of 1-3cm). Moreover, a complementary OpenDRIVE dataset is available, which includes the road network, traffic lights, fences, vegetation and so on:

• CityGML & SketchUp
  • Download via the releases section
  • Please note, that the 'Download ZIP' button doesn't include the project files due to Git LFS
• OpenDRIVE
• Download via the website of 3D Mapping Solutions (initial registration required)
• Relevant OpenDRIVE dataset is named *Ingolstadt Innercity Halls* and can be found in the demo data area
• Conversion to CityGML can be carried out using the tool r:trån

Further Information:

• Overview: Web-Map-Client (LoD3 models combined with converted OpenDRIVE dataset)
• Creation guideline: Creating LoD3 Models Based on Point Clouds
• License:(CC BY-SA 4.0)

https://raw.githubusercontent.com/savenow/lod3-road-space-models/main/documentation/images/lod3-models-citygml.png" alt="B3" width="800px">

https://raw.githubusercontent.com/savenow/lod3-road-space-models/main/documentation/images/lod3-models-citygml-with-point-clouds.png" alt="B3" width="800px">

https://raw.githubusercontent.com/savenow/lod3-road-space-models/main/documentation/images/lod3-models-citygml-overview-3d.png" alt="B3" width="800px">

This dataset contains current unresolved street furniture incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from December 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all street furniture incidents - unresolved and closed ones, please see the Street Furniture - All Incidents dataset. For further information about street furniture and reporting street furniture problems please see the City of York Council’s website.

*Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

This dataset contains the _ most recent_ street furniture incidents in York - covering a 30 days period. The information presented has been recorded in City of York Council’s customer relationship management (CRM) tool from December 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all street furniture incidents - unresolved and closed ones, please see the Street Furniture - All Incidents dataset. For further information about street furniture and reporting street furniture problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

DOT issues a list of streets where crews will be doing milling or resurfacing work each week. Schedules are subject to change due to inclement weather or equipment issues. For more information, visit NYC DOT website: https://www.nyc.gov/html/dot/html/motorist/resurfintro.shtml

This dataset contains current unresolved street furniture incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from December 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all street furniture incidents - unresolved and closed ones, please see the Street Furniture - All Incidents dataset. For further information about street furniture and reporting street furniture problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

This dataset contains current unresolved street lighting incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from March 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all street lighting incidents - unresolved and closed ones, please see the Street Lighting - All Incidents dataset. For further information about street lighting and reporting street lighting problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

This open data release is linked to the monitoring of traffic and pedestrian counts around Mill Road. The traffic data can be accessed here: https://data.cambridgeshireinsight.org.uk/dataset/mill-road-closure-traffic-sensor-data The data is available from the 08/07/2019 to 27/10/2019. ****Please note- Data for sensors 189245 and 292245 was unable to be extracted for the most recently release. This is being investigated**** The data in this release is broken down by hourly increments. Please note that this is the raw data without any verification / correction factors applied. The data extracts are broken down by pollutent: NO2- Nitrogen Dioxide PM2.5:Particulate Matter 2.5 PM10: Particulate Matter 10 Field Descriptions: Serial Number_Pollutant_PreScaled- un-calibrated (prior to ratification) Serial Number_Pollutant_Scaled- calibrated (This is the raw data without any verification / correction factors applied.) Serial Number_Pollutant_Unit- unit measurement Serial Number_Pollutant_Slope- slope of the line used in linear regression to calibrate the monitor (not used in pre-scaled results) Serial Number_Pollutant_Offset- – data offset of the line used in the linear regression to calibrate the monitor (not used in pre-scaled results)

This dataset contains the _ most recent_ street lighting incidents in York - covering a 30 days period. The information presented has been recorded in City of York Council’s customer relationship management (CRM) tool from March 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all street lighting incidents - unresolved and closed ones, please see the Street Lighting - All Incidents dataset. For further information about street lighting and reporting street lighting problems please see the City of York Council’s website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

This dataset contains current unresolved road and pavement incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from November 2019 onwards. Please note the dataset excludes incidents created in the last 14 days. For all road and pavement incidents - unresolved and closed ones, please see the Road and Pavement - All Incidents dataset. For further information about road and pavement and reporting road and pavement problems please see the City of York Council’s website.

*Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

North America LED on Highway Dynamic Message Signs Market size was valued at USD 1.7 Billion in 2024 and is expected to reach USD 21.8 Billion by 2032, growing at a CAGR of 38% from 2026 to 2032.

North America LED on Highway Dynamic Message Signs Market Drivers

Increasing Traffic Congestion: Growing urbanization and population density in many North American metropolitan areas are leading to increased traffic congestion on highways. DMS are crucial tools for managing this congestion by providing real-time information and guidance to drivers. Focus on Road Safety: Reducing accidents and improving overall road safety is a top priority for transportation authorities. DMS play a vital role by displaying warnings about incidents, adverse weather conditions, road closures, and speed limits, allowing drivers to make informed decisions. Advancements in LED Technology: Continuous improvements in LED technology are leading to brighter, more energy-efficient, and longer-lasting DMS. This enhances visibility, reduces operating costs, and extends the lifespan of the signs. Integration with Intelligent Transportation Systems (ITS): DMS are a key component of comprehensive ITS deployments. Their ability to communicate with traffic management centers and other ITS devices allows for coordinated traffic flow optimization and incident management.