2006Journal of Intelligent Transportation SystemsRequires access

Simulation Evaluation of the Benefits of Real-Time Traffic Information to Trucks during Incidents

Swee Tuan Ng, Ruey Long Cheu, Der‐Horng Lee

Open publisher page 24 citations

Abstract

This article evaluates the potential benefits of real-time traffic information for trucks delivering freight to destinations when an incident occurs en-route. The evaluation was carried out with a microscopic traffic simulation model in a network that consisted of a 26.5 km expressway and its parallel arterials. The diversion behaviors of trucks under the influence of the following sources of real-time traffic information were simulated: (1) variable message signs (VMS); (2) VMS and travel time displays (TTD); and (3) dynamic route guidance systems (DRGS). Other drivers also received and responded to limited real-time traffic information provided by VMS and TTD. A factorial experiment was designed to investigate the effect of five factors, which were the level of traffic information available to truck drivers, network traffic demand, incident locations, incident severity, and percentage of background traffic familiar with the network. It was found that, when an incident occurred during the period of high traffic demand, truck drivers benefited most from the real-time traffic information provided by DRGS, followed by the combination of VMS and TTD, and then only by the VMS with average travel time savings of 12%, 7%, and 5%, respectively, compared to average incident-free travel time. When an incident occurs during low and moderate levels of traffic demand, providing real-time traffic information helped to reduce average truck travel time, but the average travel time was higher than that of incident-free situations. Results of analysis of variance also indicated that the five factors contributed significantly in affecting the average truck travel time. There were significant interactions between any two of the five factors with the exception of the level of traffic information and incident severity.

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What this paper is about

This article evaluates the potential benefits of real-time traffic information for trucks delivering freight to destinations when an incident occurs en-route. The evaluation was carried out with a microscopic traffic simulation model in a network that consisted of a 26.5 km expressway and its parallel arterials. The diversion behaviors of trucks under the influence of the following sources of real-time traffic information were simulated: (1) variable message signs (VMS); (2) VMS and travel time displays (TTD); and (3) dynamic route guidance systems (DRGS). Other drivers also received and responded to limited real-time traffic information provided by VMS and TTD. A factorial experiment was designed to investigate the effect of five factors, which were the level of traffic information available to truck drivers, network traffic demand, incident locations, incident severity, and percentage of background traffic familiar with the network. It was found that, when an incident occurred during the period of high traffic demand, truck drivers benefited most from the real-time traffic information provided by DRGS, followed by the combination of VMS and TTD, and then only by the VMS with average travel time savings of 12%, 7%, and 5%, respectively, compared to average incident-free travel time. When an incident occurs during low and moderate levels of traffic demand, providing real-time traffic information helped to reduce average truck travel time, but the average travel time was higher than that of incident-free situations. Results of analysis of variance also indicated that the five factors contributed significantly in affecting the average truck travel time. There were significant interactions between any two of the five factors with the exception of the level of traffic information and incident severity.

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Available abstract

This article evaluates the potential benefits of real-time traffic information for trucks delivering freight to destinations when an incident occurs en-route. The evaluation was carried out with a microscopic traffic simulation model in a network that consisted of a 26.5 km expressway and its parallel arterials. The diversion behaviors of trucks under the influence of the following sources of real-time traffic information were simulated: (1) variable message signs (VMS); (2) VMS and travel time displays (TTD); and (3) dynamic route guidance systems (DRGS). Other drivers also received and responded to limited real-time traffic information provided by VMS and TTD. A factorial experiment was designed to investigate the effect of five factors, which were the level of traffic information available to truck drivers, network traffic demand, incident locations, incident severity, and percentage of background traffic familiar with the network. It was found that, when an incident occurred during the period of high traffic demand, truck drivers benefited most from the real-time traffic information provided by DRGS, followed by the combination of VMS and TTD, and then only by the VMS with average travel time savings of 12%, 7%, and 5%, respectively, compared to average incident-free travel time. When an incident occurs during low and moderate levels of traffic demand, providing real-time traffic information helped to reduce average truck travel time, but the average travel time was higher than that of incident-free situations. Results of analysis of variance also indicated that the five factors contributed significantly in affecting the average truck travel time. There were significant interactions between any two of the five factors with the exception of the level of traffic information and incident severity.

Key concepts: Truck, Transport engineering, Computer science, Traffic simulation, Automotive engineering, Simulation, Computer security, Engineering

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