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.
Highlights
The large variation in traffic demand at intersections during the day is a major contributor to urban congestion
By comparing the optimal cycle length resulting from the developed models with that of Highway Capacity Software (HCS), they concluded that the developed models improved the accuracy of predicting the optimal cycle length
We developed an optimization model to optimize the space and timing plan for signalized intersections
Summary
The large variation in traffic demand at intersections during the day is a major contributor to urban congestion. This study’s main objective is to develop a quick and agile algorithm to find the optimal lane allocation (number of lanes for each movement), phasing scheme, cycle length, and green splits for a four-leg signalized intersection, which can be implemented quickly whenever volume characteristics change to ensure the most efficient signal operation all throughout the day. This paper suggests a quick procedure for optimizing the signal timing plan after identifying the best phasing scheme and selecting optimal lane allocation for any volume characteristics during the day at a typical four-leg intersection. Onward, this process is referred to as optimizing the intersections’ “time and space”.
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