Minimization of Travel Time in Signalized Networks by Prohibiting Left Turns

Tang, Qinrui; Friedrich, Bernhard

doi:10.1016/j.trpro.2016.05.306

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…The probabilities are calculated with a simple logit model in which the utility function is path travel time. In this research, we applied the simple logit model with the same configuration as Tang and Friedrich [39].…”

Section: Stochastic User Equilibrium Modelmentioning

confidence: 99%

Design of Signal Timing Plan for Urban Signalized Networks including Left Turn Prohibition

Tang

Friedrich

2018

Journal of Advanced Transportation

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Urban road networks may benefit from left turn prohibition at signalized intersections regarding capacity, for particular traffic demand patterns. The objective of this paper is to propose a method for minimizing the total travel time by prohibiting left turns at intersections. With the flows obtained from the stochastic user equilibrium model, we were able to derive the stage generation, stage sequence, cycle length, and the green durations using a stage-based method which can handle the case that stages are sharing movements. The final output is a list of the prohibited left turns in the network and a new signal timing plan for every intersection. The optimal list of prohibited left turns was found using a genetic algorithm, and a combination of several algorithms was employed for the signal timing plan. The results show that left turn prohibition may lead to travel time reduction. Therefore, when designing a signal timing plan, left turn prohibition should be considered on a par with other left turn treatment options.

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Section: Stochastic User Equilibrium Modelmentioning

confidence: 99%

Design of Signal Timing Plan for Urban Signalized Networks including Left Turn Prohibition

Tang

Friedrich

2018

Journal of Advanced Transportation

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“…Very few studies have examined the application of left-turn restrictions or alternative left-turn treatments at individual intersections on a network. One study proposed an analytical method to identify intersections that should restrict left turns relying on simplistic traffic models that did not account for traffic dynamics, such as queue spillbacks and changes in vehicle routing ( 36 ). Other studies utilized simulation to test the performance of a set of candidate left-turn restriction configurations but did not actually consider the entire solution space and, thus, did not identify optimal configurations ( 37 , 38 ).…”

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confidence: 99%

Identification of Optimal Left-Turn Restriction Locations using Heuristic Methods

Bayrak

Gayah

2021

Transportation Research Record: Journal of the Transportation R

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Restricting left turns throughout a network improves overall flow capacity by eliminating conflicts between left-turning and through-moving vehicles. However, doing so requires vehicles to travel longer distances. Implementing left-turn restrictions at only a subset of locations can help balance this tradeoff between increased capacity and longer trips. Unfortunately, identifying exactly where these restrictions should be implemented is a complex problem because of the many configurations that must be considered and interdependencies between left-turn restriction decisions at adjacent intersections. This paper compares three heuristic solution algorithms to identify optimal location of left-turn restrictions at individual intersections in perfect and imperfect grid networks. Scenarios are tested in which restriction decisions are the same for all intersection approaches and only the same for approaches in the same direction. The latter case is particularly complex as it increases the number of potential configurations exponentially. The results suggest all methods tested can be effectively used to solve this problem, although the hybrid method proposed in this paper appears to perform the best under scenarios with larger solution spaces. The proposed framework and procedures can be applied to realistic city networks to identify where left-turn restrictions should be implemented to improve overall network operations. Application of these methods to square grid networks under uniform demand patterns reveal a general pattern in which left turns should be restricted at central intersections that carry larger vehicle flows but allowed otherwise. Such findings can be used as a starting point for where to restrict left turns in more realistic networks.

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A dictionary-based Bayesian approach to optimizing left-turn restriction locations in grid networks

Zhou,

Gayah

2024

International Journal of Transportation Science and Technology

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Minimization of Travel Time in Signalized Networks by Prohibiting Left Turns

Cited by 6 publications

References 10 publications

Design of Signal Timing Plan for Urban Signalized Networks including Left Turn Prohibition

Design of Signal Timing Plan for Urban Signalized Networks including Left Turn Prohibition

Identification of Optimal Left-Turn Restriction Locations using Heuristic Methods

A dictionary-based Bayesian approach to optimizing left-turn restriction locations in grid networks

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