Dynamically Determining the Toll Plaza Capacity by Monitoring Approaching Traffic Conditions in Real-Time
Source abstract
Abstract
This study presents an analytical method for dynamically adjusting toll plaza capacity to cope with a sudden shift in demand. The proposed method uses a proxy measure developed using discharge rate observed at toll plazas and segment travel times measured by probe vehicles. The effectiveness of the method has been evaluated by analyzing the empirical data obtained from toll plazas in the San Francisco Bay Area before and after toll plaza capacity changed. Findings indicate that the estimated number of vehicles stored near the upstream of toll plaza based on discharge rate and their travel times can be used as a proxy measure for predicting the effect of changes in toll plaza capacity. The proposed model can aid government agencies to dynamically adjust the toll plaza capacity in response to a sudden shift in demand due to various situations of failure.
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Research context
OpenAlex topics: Transportation Planning and Optimization · Traffic control and management · Traffic Prediction and Management Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil and Environmental Engineering, Seoul National University, Seoul 151-744, Korea
School of Civil, Architectural and Environmental Engineering, Korea University, Seoul 136-713, Korea
California Department of Transportation, Operations, Oakland, CA 94612, USA
Funding
Integrated Research Institute of Construction and Environmental Engineering of Seoul National University · Jungseok Logistics Foundation Grant · National Research Foundation of Korea
References (22)
Show source-provided references
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