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.

Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions

SIMULATION ◽  
2018 ◽  
Vol 95 (1) ◽  
pp. 51-64
Author(s):  
Zhenyu Mei ◽  
Zhen Tan ◽  
Wei Zhang ◽  
Dianhai Wang
Keyword(s):  
Simulation Analysis ◽  
Traffic Signal ◽  
System Stability ◽  
Traffic Signal Control ◽  
Transit Signal Priority ◽  
Special Flow ◽  
Signal Coordination ◽  
Arterial Coordination ◽  
Potential Benefits ◽  
Gap Time

This paper presents the findings of a simulation study evaluating the potential benefits of implementing transit signal priority (TSP) combined with arterial signal coordination for an isolated intersection. Traffic signal coordination is usually implemented along corridors with bus lanes. Active transit signal priority (active TSP) is a traffic-responsive control that prioritizes transit vehicles at signalized intersections. Thus, implementing active TSP under a stable cycle length is necessary to meet the relative demand of the non-priority phase and to maintain system stability. A real key intersection on an artery is taken as the object, and TSP controlling logics with specific restrictions are realized by using the VISSIM vehicle actuated programming module. Simulation analysis reveals the effect of TSP strategies with flow variation on the optimal cycle, and also identifies a reasonable method for selecting the gap time and initial green time of the priority phase. Results show that under special flow combination, increasing the cycle time generated by the traditional transportation and road research laboratory approach can give rise to additional benefits. The volume influences both the gap time and initial green time of the TSP phase. Moreover, the efficiency of red truncation is slightly better than that of the green extension strategy.

Modeling and Simulation of Urban Arterial Traffic Signal Coordinated Control

2014 ◽  
Vol 543-547 ◽  
pp. 1417-1422
Author(s):  
Wei Li ◽  
Xin Bi ◽  
Yun Xia Cao ◽  
Jin Song Du
Keyword(s):  
Traffic Congestion ◽  
Control Method ◽  
Coordinated Control ◽  
Traffic Monitoring ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Monitoring And Control ◽  
Total Delay ◽  
Arterial Traffic ◽  
Urban Arterial

Traffic congestion is a major concern for many cities throughout the world. Developing a sophisticated traffic monitoring and control system would result in an effective solution to this problem. In order to reduce traffic delay, a novel urban arterial traffic signal coordinated control method is presented. The total delay of downstream and upstream vehicles is considered and the function describing the relationship between vehicles delay and signal offset among intersections is established. Finally, comparing the performance of traffic signal under method proposed in this paper with the traditional isolated traffic signal control method, the microscopic simulation results show that the method proposed in this paper has better performance in the aspect of reducing the vehicles delay. The offset model is tested in a simulation environment consisting of a core area of three intersections. It can be concluded that the proposed method is much more effective in relieving oversaturation in a network than the isolated intersection control strategy.

scholarly journals Analysis of Peer Intersection Data for Arterial Traffic Signal Coordination Decisions

2016 ◽  
Author(s):  
Christopher Day ◽  
Thomas Brennan ◽  
Hiromal Premachandra ◽  
James Sturdevant ◽  
Darcy Bullock
Keyword(s):  
Traffic Signal ◽  
Signal Coordination ◽  
Arterial Traffic

scholarly journals Modeling of Signal Plans for Transit Signal Priority at Isolated Intersections under Stochastic Condition

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Lv Bin
Keyword(s):  
Traffic Flow ◽  
Cycle Length ◽  
Arrival Rate ◽  
Fixed Time ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Service Reliability ◽  
Transit Signal Priority ◽  
Average Delay ◽  
Obvious Effect

Transit signal priority (TSP) is recognized as having the potential to improve transit service reliability at small cost to general traffic. The popular preference for TSP encounters the challenges of various and challenging test scenarios. According to the stochastic characteristics of traffic flow, the signal timing model was established for TSP at an isolated signal intersection, where the passenger average delay was used as the optimization objective, and the weights of all phases were considered. The priority logic that is considered in the study provides cycle length and green time within a fixed-time traffic signal control environment. Using the Gauss elimination, the quantitative relationships were determined between phase clearance reliability (PCR), cycle length, and green time. Simulation experiments conducted by the particle swarm optimization (PSO) algorithm indicated that (1) the random variation of arrival rate has an obvious effect on traffic signal settings; (2) the proposed TSP model can reduce passenger delays, especially under stochastic traffic flow.

Optimal Type-2 Fuzzy System For Arterial Traffic Signal Control

2018 ◽  
Vol 19 (9) ◽  
pp. 3009-3027 ◽  
Author(s):  
Yunrui Bi ◽  
Xiaobo Lu ◽  
Zhe Sun ◽  
Dipti Srinivasan ◽  
Zhixin Sun
Keyword(s):  
Fuzzy System ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Arterial Traffic ◽  
Optimal Type

scholarly journals Traffic Signal Optimization and Vehicle Speed Control at Signalized Intersection

2020 ◽  
pp. 542-547
Author(s):  
S. R. Karthiga ◽  
G. Ramya ◽  
M. Ramya
Keyword(s):  
Arrival Time ◽  
Traffic Signal ◽  
Signalized Intersection ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Vehicle Speed ◽  
Speed Optimization ◽  
Total Travel Time ◽  
Traffic Signal Timing ◽  
Engine Power

The aim of this project is to promote the significant improvement of transportation efficiency and fuel economy by the cooperative method of traffic signal control and vehicle speed optimization. It formulates the optimal traffic signal timing and vehicles arrival time to minimize the total travel time of all vehicle and to optimize the engine power to minimize the fuel consumption of individual vehicles.

Using Traffic Signal Control to Limit Speeding Opportunities on Bidirectional Urban Arterials

2018 ◽  
Vol 2672 (18) ◽  
pp. 107-116
Author(s):  
Peter G. Furth ◽  
Ahmed T. M. Halawani ◽  
Jin Li ◽  
Weimin (Jake) Hu ◽  
Burak Cesme
Keyword(s):  
Case Studies ◽  
Cycle Length ◽  
Traffic Signal ◽  
Degree Of Saturation ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Signal Coordination ◽  
Traffic Calming ◽  
Urban Arterials ◽  
Speed Enforcement

Although controlling speed on urban arterials is important for safety, conventional traffic calming techniques cannot usually be applied on arterials, and many jurisdictions prohibit automated speed enforcement. Moreover, unlike unidirectional arterials, bidirectional arterials with short intersection spacing are not amenable to green waves that can remove the incentive to speed. This research explores the ways that traffic signal coordination creates – or limits – speeding opportunities on bidirectional arterials. Two measures of speeding opportunity are proposed: number of unconstrained vehicles, meaning vehicles arriving at a stopline on green and with no vehicle less than 5 s ahead of them, and number of speeders in a traffic microsimulation in which 20% of the vehicles have been assigned a desired speed in the “speeding” range. Theoretical analysis, confirmed by two case studies, show how speeding opportunities are related to degree of saturation, cycle length, specified progression speed (as in input to signal timing software), intersection spacing, and recall settings. The important role of clusters of intersections with near-simultaneous greens, a byproduct of bidirectional coordination with short intersection spacing, is examined. Clusters with many intersections are shown to create a strong speeding incentive, and cluster size can be reduced by lowering the cycle length and the progression speed. Case studies show it is sometimes possible to substantially reduce speeding opportunities with little or no increase in vehicular delay by lowering cycle length, lowering progression speed, dividing an arterial into smaller “coordination zones” with each zone having its own cycle length, and by abandoning coordination altogether.

Sign in / Sign up

Export Citation Format

Share Document