2002Transportation Research Record Journal of the Transportation Research BoardRequires access

Evaluation of Traffic Flow Analysis Tools Applied to Work Zones Based on Flow Data Collected in the Field

Thomas Schnell, Jeffrey S. Mohror, Fuat Aktan

Open publisher page 41 citations

Abstract

The Ohio Department of Transportation (ODOT) has identified the maintenance of traffic (MOT) as a top priority to serve the motoring public as part of a department strategic initiative. A key component of this strategy is to ensure that traffic flows efficiently through work zones. Work is described that was performed for ODOT to determine whether commercially available traffic simulation models could be calibrated to yield accurate queue length and delay time predictions for planning purposes in freeway work zones. Four work zones on multilane freeways were selected by ODOT for collection of the calibration data. Traffic flow video records were obtained at the four selected work zones by two ODOT video recording vans equipped with 15-m masts. Traffic flow parameters were extracted from the video records with the Mobilizer-PC software package. The traffic simulation and prediction tools investigated included the Highway Capacity Software (HCS), Synchro, CORSIM (under ITRAF and TRAFVU), NetSim, and a macroscopic model called QueWZ92. Simulation models were constructed with all models for the selected work zones, and the simulated queue lengths and delay times were compared with the data extracted from the field data with Mobilizer-PC. The results of this study indicated that the microscopic simulation packages could not be calibrated to the oversaturated conditions that existed at the work zones. The calibrated microscopic simulation packages underestimated the length of the queues that formed in the real world. The macroscopic QueWZ92 produced more accurate estimates than did the microscopic packages.

About this research paper

What this paper is about

The Ohio Department of Transportation (ODOT) has identified the maintenance of traffic (MOT) as a top priority to serve the motoring public as part of a department strategic initiative. A key component of this strategy is to ensure that traffic flows efficiently through work zones. Work is described that was performed for ODOT to determine whether commercially available traffic simulation models could be calibrated to yield accurate queue length and delay time predictions for planning purposes in freeway work zones. Four work zones on multilane freeways were selected by ODOT for collection of the calibration data. Traffic flow video records were obtained at the four selected work zones by two ODOT video recording vans equipped with 15-m masts. Traffic flow parameters were extracted from the video records with the Mobilizer-PC software package. The traffic simulation and prediction tools investigated included the Highway Capacity Software (HCS), Synchro, CORSIM (under ITRAF and TRAFVU), NetSim, and a macroscopic model called QueWZ92. Simulation models were constructed with all models for the selected work zones, and the simulated queue lengths and delay times were compared with the data extracted from the field data with Mobilizer-PC. The results of this study indicated that the microscopic simulation packages could not be calibrated to the oversaturated conditions that existed at the work zones. The calibrated microscopic simulation packages underestimated the length of the queues that formed in the real world. The macroscopic QueWZ92 produced more accurate estimates than did the microscopic packages.

Why it matters

OpenAlex reports 41 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The Ohio Department of Transportation (ODOT) has identified the maintenance of traffic (MOT) as a top priority to serve the motoring public as part of a department strategic initiative. A key component of this strategy is to ensure that traffic flows efficiently through work zones. Work is described that was performed for ODOT to determine whether commercially available traffic simulation models could be calibrated to yield accurate queue length and delay time predictions for planning purposes in freeway work zones. Four work zones on multilane freeways were selected by ODOT for collection of the calibration data. Traffic flow video records were obtained at the four selected work zones by two ODOT video recording vans equipped with 15-m masts. Traffic flow parameters were extracted from the video records with the Mobilizer-PC software package. The traffic simulation and prediction tools investigated included the Highway Capacity Software (HCS), Synchro, CORSIM (under ITRAF and TRAFVU), NetSim, and a macroscopic model called QueWZ92. Simulation models were constructed with all models for the selected work zones, and the simulated queue lengths and delay times were compared with the data extracted from the field data with Mobilizer-PC. The results of this study indicated that the microscopic simulation packages could not be calibrated to the oversaturated conditions that existed at the work zones. The calibrated microscopic simulation packages underestimated the length of the queues that formed in the real world. The macroscopic QueWZ92 produced more accurate estimates than did the microscopic packages.

Key concepts: Synchro, Traffic flow (computer networking), Queue, Traffic simulation, Computer science, Software, Work zone, Simulation software

Related papers

Back to paper searchBrowse research topicsOriginal source
Evaluation of Traffic Flow Analysis Tools Applied to Work Zones Based on Flow Data Collected in the Field — Research Paper | ScholarLens