A multi-band approach to arterial traffic signal optimization

1991 ◽  
Vol 25 (1) ◽  
pp. 55-74 ◽  
Author(s):  
Nathan H. Gartner ◽  
Susan F. Assman ◽  
Fernando Lasaga ◽  
Dennis L. Hou
Keyword(s):  
Traffic Signal ◽  
Signal Optimization ◽  
Arterial Traffic ◽  
Multi Band

A Partition-Enabled Multi-Mode Band Approach to Arterial Traffic Signal Optimization

2019 ◽  
Vol 20 (1) ◽  
pp. 313-322 ◽  
Author(s):  
Wanjing Ma ◽  
Li Zou ◽  
Kun An ◽  
Nathan H. Gartner ◽  
Meng Wang
Keyword(s):  
Traffic Signal ◽  
Signal Optimization ◽  
Arterial Traffic ◽  
Multi Mode

scholarly journals Arterial traffic signal optimization: A person-based approach

2016 ◽  
Vol 66 ◽  
pp. 27-47 ◽  
Author(s):  
Eleni Christofa ◽  
Konstantinos Ampountolas ◽  
Alexander Skabardonis
Keyword(s):  
Traffic Signal ◽  
Signal Optimization ◽  
Arterial Traffic

scholarly journals AM-Band: An Asymmetrical Multi-Band model for arterial traffic signal coordination

2015 ◽  
Vol 58 ◽  
pp. 515-531 ◽  
Author(s):  
Chao Zhang ◽  
Yuanchang Xie ◽  
Nathan H. Gartner ◽  
Chronis Stamatiadis ◽  
Tugba Arsava
Keyword(s):  
Traffic Signal ◽  
Band Model ◽  
Signal Coordination ◽  
Arterial Traffic ◽  
Multi Band

scholarly journals Transit-Based Emergency Evacuation with Transit Signal Priority in Sudden-Onset Disaster

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Ciyun Lin ◽  
Bowen Gong
Keyword(s):  
Arrival Time ◽  
Time Estimation ◽  
Emergency Evacuation ◽  
Sudden Onset ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Transit Signal Priority ◽  
Signal Coordination ◽  
Arterial Traffic ◽  
Evacuation Route

This study presents methods of transit signal priority without transit-only lanes for a transit-based emergency evacuation in a sudden-onset disaster. Arterial priority signal coordination is optimized when a traffic signal control system provides priority signals for transit vehicles along an evacuation route. Transit signal priority is determined by “transit vehicle arrival time estimation,” “queuing vehicle dissipation time estimation,” “traffic signal status estimation,” “transit signal optimization,” and “arterial traffic signal coordination for transit vehicle in evacuation route.” It takes advantage of the large capacities of transit vehicles, reduces the evacuation time, and evacuates as many evacuees as possible. The proposed methods were tested on a simulation platform with Paramics V6.0. To evaluate and compare the performance of transit signal priority, three scenarios were simulated in the simulator. The results indicate that the methods of this study can reduce the travel times of transit vehicles along an evacuation route by 13% and 10%, improve the standard deviation of travel time by 16% and 46%, and decrease the average person delay at a signalized intersection by 22% and 17% when the traffic flow saturation along an evacuation route is0.8<V/C≤1.0andV/C>1.0, respectively.

Genetic Algorithms Based Traffic Signal Optimization at a Congested Intersection

2012 ◽  
Vol 209-211 ◽  
pp. 814-817 ◽  
Author(s):  
Ping Wang ◽  
Qun Yang
Keyword(s):  
Genetic Algorithms ◽  
Objective Function ◽  
Traffic Signal ◽  
Signal Timing ◽  
Signal Optimization ◽  
Average Delay ◽  
Traffic Signal Timing ◽  
Optimal Signal ◽  
Isolated Intersection

The objective of this paper is to investigate genetic algorithms (GA) on traffic signal timing at a congested isolated intersection. The objective function for GA modeling was established on the strategy of minimizing average delay and GA was applied to search for the optimal signal timing. Then microsimulation is used to compare the optimized timings produced by the GA with those obtained for the same intersection using Synchro. Results indicated that applying GA results in lower values of average delay and average number of stops in congested condition than applying Synchro.

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