Integrating mobility data sources to define and quantify a vehicle-level congestion indicator: an application for the city of Turin
PURPOSE: Traffic congestion is a large-scale problem in urban areas all over the world that can lead to substantial costs for travellers and business operations. This paper focus on how to measure the way in which congestion selectively affects different traffic streams, with special emphasis on light duty vehicles travelling around a city. METHODS: The idea is to integrate a dataset collecting Global Positioning System (GPS) vehicle traces with road side data sources related to traffic conditions in a road network, which on the other hand usually lack focus on specific traffic streams. The core of the data integration method is the creation of a specific indicator focusing on the time lost in congestion. This is a Key Performance Indicator (KPI) of an urban network that is of paramount importance as a decision support tool for policy makers, also because it has an impact on other key issues such as air pollution, noise emissions, energy efficiency and health problems. Then, a method is proposed to quantify the congestion KPI in a highly disaggregated fashion (each single vehicle travelling on each single link or street segment). RESULTS: This KPI can be used to inform a wide range of policy actions within the transport sector, both from the viewpoint of a city and from that of an individual actor of the transport system, such as the operator of a fleet of vehicles for urban freight deliveries. Some preliminary examples of how the aggregation of the KPI at different scales can provide insights into the transport system are presented.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18668887
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Supplemental Notes:
- © 2019 Miriam Pirra and Marco Diana.
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Authors:
- Pirra, Miriam
- 0000-0002-4110-1102
- Diana, Marco
- Publication Date: 2019-12
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References;
- Pagination: 41
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Serial:
- European Transport Research Review
- Volume: 11
- Issue Number: 1
- Publisher: Springer Publishing
- ISSN: 1866-8887
- EISSN: 1867-0717
- Serial URL: http://link.springer.com/journal/12544
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Delivery service; Logistics; Mobility; Performance measurement; Traffic congestion; Traffic data; Urban areas
- Geographic Terms: Turin (Italy)
- Subject Areas: Freight Transportation; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01726535
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 23 2019 5:12PM