Chow, AHF;
Santacreu, A;
Tsapakis, I;
Tanasaranond, G;
Cheng, T;
(2014)
Empirical assessment of urban traffic congestion.
JOURNAL OF ADVANCED TRANSPORTATION
, 48
(8)
1000 - 1016.
10.1002/atr.1241.
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Abstract
This paper presents an empirical assessment of urban traffic congestion in Central London, UK. Compared with freeways or motorways, urban networks are relatively less studied because of its complexity and availability of required traffic data. This paper introduces the use of automatic number plate recognition technology to analyze the characteristic of urban traffic congestion in Central London. We also present the use of linear regression to diagnose the observed congestion and attribute them to different causes. In particular, we distinguish the observed congestion into two main components: one due to recurrent factors and the other due to nonrecurrent factors. The methodologies are illustrated through a case study of Central London Area. It is found that about 15% of the observed congestion in the region is due to nonrecurrent factors such as accidents, roadwork, special events, and strikes. Given the significance of London, the study will be valuable for transport policy evaluation and appraisal in other global cities.
| Type: | Article |
|---|---|
| Title: | Empirical assessment of urban traffic congestion |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/atr.1241 |
| Publisher version: | http://dx.doi.org/10.1002/atr.1241 |
| Language: | English |
| Keywords: | automatic number plate recognition (ANPR), London Traffic Information System (LTIS), visualization, linear regression, congestion pie |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1400264 |
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