In this paper, a macroscopic approach Cell Transmission Model (CTM) based on traffic wave theory where traffic flow is treated as a one-dimensional compressible fluid with variable characteristics is applied to describe the spatio-temporal evolution of traffic congestions on urban freeways. The evolution is significant to reflect the formulation, continuance and dissipation of queues. This paper improves Cell Transmission Model (CTM) that combines both short-term traffic flow data and occupancy data collected by inductive loops when common congestions or incidents occur. A piecewise linear regression model is performed with a validation of real traffic data collected on freeway of Queen Elizabeth-Ontario, Canada, then simulation results of CTM are quantitatively compared with field data, the results show that CTM can provide a relatively high accuracy of spatio-temporal evolution of traffic congestions.
Spatio-Temporal Evolution of Traffic Congestions on Urban Freeways
Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China
29.07.2009
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Spatio-Temporal Evolution of Traffic Congestions on Urban Freeways
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