DMCA
1 Arterial travel time estimation: Revisiting the classical procedure
BibTeX
@MISC{Bhaskar_1arterial,
author = {Ashish Bhaskar and Edward Chung and André-gilles Dumont},
title = {1 Arterial travel time estimation: Revisiting the classical procedure},
year = {}
}
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Abstract
Travel time is an important network performance measure and it quantifies congestion in a manner easily understood by all transport users. In urban networks, travel time estimation is challenging due to number of reasons such as, fluctuations in traffic flow due to traffic signals, significant flow to/from mid link sinks/sources, etc. The classical analytical procedure utilizes cumulative plots at upstream and downstream locations for estimating travel time between the two locations. In this paper, we discuss about the issues and challenges with classical analytical procedure such as its vulnerability to non conservation of flow between the two locations. The complexity with respect to exit movement specific travel time is discussed. Recently, we have developed a methodology utilising classical procedure to estimate average travel time and its statistic on urban links (Bhaskar, Chung et al. 2010). Where, detector, signal and probe vehicle data is fused. In this paper we extend the methodology for route travel time estimation and test its performance using simulation. The originality is defining cumulative plots for each exit turning movement utilising historical database which is self updated after each estimation. The performance is also compared with a method solely based on probe (Probe-only). The performance of the proposed methodology has been found insensitive to different route flow, with average accuracy of more than 94 % given a probe per estimation interval which is more than 5 % increment in accuracy with respect to Probe-only method. 1
Keyphrases
classical procedure arterial travel time estimation travel time traffic flow important network performance measure probe-only method average travel time different route flow route travel time estimation classical analytical procedure cumulative plot mid link sink source significant flow travel time estimation average accuracy movement specific travel time urban network urban link downstream location movement utilising historical database transport user probe vehicle data traffic signal estimation interval
