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Title: Nature and Causes of Urban Traffic Congestion: Case Study of London
Accession Number: 01366469
Record Type: Component
Abstract: This paper presents an empirical approach to investigate the nature and causes of urban traffic congestion. Compared with freeways, urban network traffic is relatively less studied due to its complexity and availability of required data. This paper introduces the data resources the authors have and the research they have been conducting to understand the characteristic of urban traffic in Greater London Area, UK. Our traffic data include journey time estimates from Automatic Number Plate Recognition (ANPR) system and GPS (Global Positioning System) equipped vehicles; traffic counts, incident records from London Traffic Information System (LTIS), and weather information from UK MET office. With the traffic data, the authors introduce the use of visualization to retrieve the spatio-temporal feature of urban traffic. We also present the use of linear regression model to diagnose observed congestion and attribute them to different causes. In particular, they distinguish the observed congestion into two main components: one due to recurrent factors and the other due to non-recurrent factors. The methodologies are illustrated through a case study of Greater London Area. It is found that about 15% of the observed congestion in the region is due to non-recurrent factors such as accidents, unplanned roadwork, special events, and strikes. The study presented herein will be valuable for transport policy evaluation and appraisal.
Supplemental Notes: This paper was sponsored by TRB committee ABJ30 Urban Transportation Data and Information Systems
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-2619
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Chow, Andy H FSantacreu, AlexandreTsapakis, IoannisTanaksaranond, GaravigCheng, TaoPagination: 22p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I70: Traffic and Transport; I73: Traffic Control
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-2619
Files: TRIS, TRB
Created Date: Feb 8 2012 5:10PM
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