2018Unpublished venueRequires access

Analysis of urban traffic jam formation based on extended cell transmission model

Liang Qi, MengChu Zhou

Open publisher page 5 citations

Abstract

This work proposes an extended cell transmission model to describe traffic flow in urban networks. In the model, the paths of vehicles travelling toward a road link are depicted for the first time. Based on the model, a simulation approach is used to analyze the traffic jam formation caused by an incident under a scenario that travelers are informed of such an incident from advanced traveler information systems and some of them conduct a detour prior to entering the incident-induced congested roads. Simulation results reveal the influences of some major parameters on an incident-induced congestion formation. These parameters are the ratio of vehicles conducting a detour over the total ones and the amount of traffic flow driving to the blocked link in the traffic network. The results can be used to estimate the traffic jam size and traffic delay caused by traffic incidents.

About this research paper

What this paper is about

This work proposes an extended cell transmission model to describe traffic flow in urban networks. In the model, the paths of vehicles travelling toward a road link are depicted for the first time. Based on the model, a simulation approach is used to analyze the traffic jam formation caused by an incident under a scenario that travelers are informed of such an incident from advanced traveler information systems and some of them conduct a detour prior to entering the incident-induced congested roads. Simulation results reveal the influences of some major parameters on an incident-induced congestion formation. These parameters are the ratio of vehicles conducting a detour over the total ones and the amount of traffic flow driving to the blocked link in the traffic network. The results can be used to estimate the traffic jam size and traffic delay caused by traffic incidents.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This work proposes an extended cell transmission model to describe traffic flow in urban networks. In the model, the paths of vehicles travelling toward a road link are depicted for the first time. Based on the model, a simulation approach is used to analyze the traffic jam formation caused by an incident under a scenario that travelers are informed of such an incident from advanced traveler information systems and some of them conduct a detour prior to entering the incident-induced congested roads. Simulation results reveal the influences of some major parameters on an incident-induced congestion formation. These parameters are the ratio of vehicles conducting a detour over the total ones and the amount of traffic flow driving to the blocked link in the traffic network. The results can be used to estimate the traffic jam size and traffic delay caused by traffic incidents.

Key concepts: Cell Transmission Model, Traffic congestion reconstruction with Kerner's three-phase theory, Traffic flow (computer networking), Computer science, Traffic congestion, Transmission (telecommunications), Floating car data, Traffic generation model

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