Estimating Road Traffic Congestion using Cell Dwell Time with Simple Threshold and Fuzzy Logic Techniques

• Published in: 2007 IEEE Intelligent Transportation Systems Conference pp. 956 - 961
• Main Authors: Pattara-atikom, W., Peachavanish, R., Luckana, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2007
• Subjects: Cities and towns; Costs; Fuzzy logic; Intelligent sensors; Intelligent transportation systems; Mobile handsets; Probes; Road transportation; Urban areas; Vehicles
• ISBN: 1424413958; 9781424413959
• ISSN: 2153-0009; 2153-0017
• DOI: 10.1109/ITSC.2007.4357756

In this paper, we studied the relationship between cell dwell time (CDT) and the degree of road traffic congestion. CDT is the duration that a mobile phone remains associated with a base station. As the mobile phone in a vehicle travels along a road and encounters different degrees of congestion, the value of CDT varies accordingly. Intutively, the higher value of CDT indicates the worse degree of congestion. This study investigated ways to estimate the degree of road traffic congestion based on measurements of CDT taken from major traffic routes in the metropolitan area of Bangkok, Thailand. We classifed measurements of CDT into three levels of traffic congestion based on duration using two techniques -simple threshold and fuzzy logic, and verified the results with human observations of traffic conditions. The results suggested that the duration of CDT can be used to estimate the degree of congestion with accuracy level upto 85%, which is comparable to a similar technique used to estimate the degree of congestion based on velocity. This suggested a potential use of CDT as traffic probe data.