This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

Road sections involved in the definition of an exceptional interdepartmental transport traffic network for which the demand for transport no longer requires a prior request for advice from road managers. General requirements for the movement of exceptional transport convoys throughout the network of the same operator also accompany the identification of sections

The Buildings and Artifacts are derived from the REAL ESTATE AND ANTHROPOSITIONS layer of the Regional Technical Map 1:5000 - 2007/2013 - II Edition 3D / Topographic DB. The map was created in successive batches from 2007 to 2013. The elements are three-dimensional defined by x, y, z coordinates and are accompanied by alphanumeric information. The data are organized into layers (geodetic and photogrammetric information - traffic, mobility and transport - buildings and anthropisation - hydrography - orography - vegetation - technological networks - pertinent areas) subdivided in turn into themes and classes according to national specifications dictated by the group of Intesa-GIS work. - Coverage: Entire Regional Territory - Origin: Aerial photogrammetric restitution integrated by field surveys.

In this open data set you will receive part of the raw data from the interim report "Inventory Analysis of the Mobility Master Plan Münster 2035+" in machine-readable format as a CSV file and as an Excel file.

Information on the content of the data

Various tables and visualizations of the inventory analysis were created from the raw data provided here. The files contain the following information (per district):

• Modal split (domestic traffic)
• Frequent trips and time budget
• Availability of means of transport

"Modal Split" is the English term for the choice of transport. This includes the percentage shares of the individual means of transport in the daily trips or in the daily traffic performance.

"Internal traffic" means traffic whose start and destination is within the city of Münster, in contrast to source and destination traffic via beyond the city limits. In domestic traffic, distances are covered more often by bike and foot than in regional traffic. However, regional traffic ("not domestic traffic") has a significant impact on the overall modal split due to its magnitude (about 360,000 passenger journeys per day).

This data comes from the mobility survey conducted in November 2019 was carried out as a cross-sectional survey of the traffic behavior of the Münster population on workdays.

More detailed information on the individual columns is available on the download page for the CSV file (if you click on the title of the CSV file below).< /p>

Information on the files and file formats

The following file formats are available for download on this page:

• The CSV The file is optimized for programmatic evaluation and contains one feature per column and one district per row.
• The Excel file provides a more visual approach to the data: in a single spreadsheet are multiple tables for each district and districts.

You will also find below the interim report "Assessment of the Mobility Master Plan Münster 2035+" as a PDF file for download. The document provides more background information on the data provided. Visualizations of the data can also be found there from page 115 in the chapter "Mobility Master Plan Münster 2035+ - Supplementary evaluations for the mobility survey".

The PDF file also contains other interesting tables and diagrams on the mobility behavior of the people of Münster . However, the raw data used there is very heterogeneous, comes from different sources and the data is best understood in connection with the explanatory texts, which is why they are not also offered in machine-readable format as an open data download.

The data on commuter flows shown in the interim report can be found on the following page: https://www.pendleratlas.nrw.de/< /p>

Further information on the Mobility 2035+ Master Plan is available in the City of Münster's information system in the documents or attachments to the template "Mobility Master Plan Münster 2035+ (V/0802/2017)".

In each department, the prefect is responsible for identifying and classifying land transport infrastructure according to their acoustic characteristics and traffic (L. 571-10 of the Environmental Code) Land transport infrastructure is classified into 5 categories according to the noise level it generates, with category 1 being the loudest. An area affected by noise is defined around each classified infrastructure. On the basis of this census, it determines, after consulting the municipalities, the sectors, in the vicinity of these infrastructures, affected by noise, the levels of noise to be taken into account and the technical requirements to be applied in the construction of a building in order to mitigate exposure to these nuisances. These areas must be reported in the graphical documents of the Local Urban Planning Plans.