Temporal-Spatial Analysis of Traffic Congestion Based on Modified CTM

Chenglong Chu; Na Xie; Xiqun Chen; Yuxin Wu; Xiaoxiao Sun

doi:10.1155/2015/136102

Temporal-Spatial Analysis of Traffic Congestion Based on Modified CTM

Chenglong Chu, Na Xie, Xiqun Chen, Yuxin Wu, Xiaoxiao Sun

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A modified cell transmission model (CTM) is proposed to depict the temporal-spatial evolution of traffic congestion on urban freeways. Specifically, drivers' adaptive behaviors and the corresponding influence on traffic flows are emphasized. Two piecewise linear regression models are proposed to describe the relationship of flow and density (occupancy). Several types of cellular connections are designed to depict urban rapid roads with on/off-ramps and junctions. Based on the data collected on freeway of Queen Elizabeth, Ontario, Canada, we show that the new model provides a relatively higher accuracy of temporal-spatial evolution of traffic congestions.

Original language	English (US)
Article number	136102
Journal	Mathematical Problems in Engineering
Volume	2015
DOIs	https://doi.org/10.1155/2015/136102
State	Published - 2015
Externally published	Yes

ASJC Scopus subject areas

General Mathematics
General Engineering

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title = "Temporal-Spatial Analysis of Traffic Congestion Based on Modified CTM",

abstract = "A modified cell transmission model (CTM) is proposed to depict the temporal-spatial evolution of traffic congestion on urban freeways. Specifically, drivers' adaptive behaviors and the corresponding influence on traffic flows are emphasized. Two piecewise linear regression models are proposed to describe the relationship of flow and density (occupancy). Several types of cellular connections are designed to depict urban rapid roads with on/off-ramps and junctions. Based on the data collected on freeway of Queen Elizabeth, Ontario, Canada, we show that the new model provides a relatively higher accuracy of temporal-spatial evolution of traffic congestions.",

author = "Chenglong Chu and Na Xie and Xiqun Chen and Yuxin Wu and Xiaoxiao Sun",

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AU - Xie, Na

AU - Chen, Xiqun

AU - Wu, Yuxin

AU - Sun, Xiaoxiao

PY - 2015

Y1 - 2015

N2 - A modified cell transmission model (CTM) is proposed to depict the temporal-spatial evolution of traffic congestion on urban freeways. Specifically, drivers' adaptive behaviors and the corresponding influence on traffic flows are emphasized. Two piecewise linear regression models are proposed to describe the relationship of flow and density (occupancy). Several types of cellular connections are designed to depict urban rapid roads with on/off-ramps and junctions. Based on the data collected on freeway of Queen Elizabeth, Ontario, Canada, we show that the new model provides a relatively higher accuracy of temporal-spatial evolution of traffic congestions.

AB - A modified cell transmission model (CTM) is proposed to depict the temporal-spatial evolution of traffic congestion on urban freeways. Specifically, drivers' adaptive behaviors and the corresponding influence on traffic flows are emphasized. Two piecewise linear regression models are proposed to describe the relationship of flow and density (occupancy). Several types of cellular connections are designed to depict urban rapid roads with on/off-ramps and junctions. Based on the data collected on freeway of Queen Elizabeth, Ontario, Canada, we show that the new model provides a relatively higher accuracy of temporal-spatial evolution of traffic congestions.

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JO - Mathematical Problems in Engineering

JF - Mathematical Problems in Engineering

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ER -

Temporal-Spatial Analysis of Traffic Congestion Based on Modified CTM

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