Affiliation:
1. Dept of Civil and Environmental Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Abstract
One major cause of congestion at intersections is the fluctuation of traffic demand during the day.
This phenomenon necessitates developing new models that can be used to enhance the performance of signalized intersections.
We suggest a quick procedure for optimizing signal timing plans after identifying the best phasing scheme and selecting
optimal lane allocation (space optimization) for any volume characteristics during the day at a typical four-leg
intersection. The main contribution of this study is developing a method for collectively optimizing a signal-timing plan,
intersection space, and phasing scheme. TRANSYT-7F, SYNCHRO and HCS2010 were used to assess the developed models in
a case study. It was found that regardless of the optimization software used for timing-plan optimization, optimizing
both space and timing plan together produce significant reductions in average intersection delay compared to optimizing
only the timing plan. Furthermore, this study showed that the developed model, which optimizes space and time, consistently
provided better results in terms of average intersection delay compared to TRANSYT-7F, SYNCHRO and HCS2010 in the case study.
Publisher
Vilnius Gediminas Technical University
Subject
Mechanical Engineering,Automotive Engineering
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