Research on Calculating the Parameters of Signal Timing for TSP Based on Enumeration Method

2013 ◽  
Vol 756-759 ◽  
pp. 3094-3098
Author(s):  
Tian Hong Gu ◽  
Hui Jian Cao
Keyword(s):  
Communication Technology ◽  
Delay Time ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Transit Signal Priority ◽  
Average Delay ◽  
Real Time Traffic ◽  
Simulation Results ◽  
The Impact

It is of importance to calculate the parameters of signal timing for TSP (Transit Signal Priority). However, most studies computing the delay are provided based on formula of triangle area. With communication technology developing precisely calculating the delay time of buses can be achieved. The kernel algorithm of TSP still has room for improvement. In this paper, the algorithmic flow of the most of functions is presented based on Enumeration Method.Meanwhile the study uses the VISSIM simulation model to evaluate the impact of a number of alternative priority strategies on both the prioritized buses and general traffic. The priority logic that is considered in the study provides signal timing parameters within a real-time traffic signal control environment. A case study was conducted to validate the model results. Simulation results shows that this method effectively reduces average delay time of the travelers.

Developing Guidelines for Implementing Transit Signal Priority and Freight Signal Priority Using Simulation Modeling and a Decision Tree Algorithm

2021 ◽  
pp. 036119812110575
Author(s):  
Shahadat Iqbal ◽  
Taraneh Ardalan ◽  
Mohammed Hadi ◽  
Evangelos Kaisar
Keyword(s):  
Decision Tree ◽  
Signal Control ◽  
Signal Timing ◽  
Transit Signal Priority ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
Traffic Demand ◽  
Capacity Ratio ◽  
The Impact

Transit signal priority (TSP) and freight signal priority (FSP) allow transportation agencies to prioritize signal service allocations considering the priority of vehicles and, potentially, decrease the impact signal control has on them. However, there have been no studies to develop guidelines for implementing signal control considering both TSP and FSP. This paper reports on a study conducted to provide such guidelines that employed a literature review, a simulation study, and a decision tree algorithm based on the simulation results. The guideline developed provides recommendations in accordance with the signal timing slack time, the proportion of major to minor street hourly volume, hourly truck volume per lane for the major street, hourly truck volume per lane for the minor street, the proportion of major to minor street hourly truck volume, the proportion of major to minor street hourly bus volume, the volume-to-capacity ratio for the major street, and the volume-to-capacity ratio for the minor street. The guideline developed was validated by implementing it for a case study facility. The validation result showed that the guideline works correctly for both high and low traffic demand.

scholarly journals Urban Traffic Signal Control Based on Multiobjective Joint Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yongrong Wu ◽  
Yijie Zhou ◽  
Yanming Feng ◽  
Yutian Xiao ◽  
Shaojie He ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing Algorithm ◽  
Urban Traffic ◽  
Joint Optimization ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Timing Optimization ◽  
Average Delay ◽  
Annealing Algorithm

This paper proposes two algorithms for signal timing optimization of single intersections, namely, microbial genetic algorithm and simulated annealing algorithm. The basis of the optimization of these two algorithms is the original timing scheme of the SCATS, and the optimized parameters are the average delay of vehicles and the capacity. Experiments verify that these two algorithms are, respectively, improved by 67.47% and 46.88%, based on the original timing scheme.

Studies on the Technology and Application of Transit Signal Priority on Exclusive Line

2015 ◽  
Vol 743 ◽  
pp. 774-779
Author(s):  
Q.L. Wang
Keyword(s):  
Stopping Times ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Transit Signal Priority ◽  
Bus Priority ◽  
Average Delay ◽  
Average Speed ◽  
Traffic Jam ◽  
Bus Signal Priority ◽  
Key Features

Bus priority is the effective methods of reducing traffic jam in large and medium-sized cities. Application and assessment of bus signal priority is studied, bus signal priority whole scheme is put forward based on GPS pointing and intelligent dispatch by investigating the situation of No.36 bus waiting time at stops and intersections. Based on Zigbee active request bus signal priority, dataflow process under local request and central request is analyzed, the principle of bus signal priority on balanced distance headway is put forward, and adjustment of key features parameters realized combining with SCATS traffic signal control system. The application assessment shows that, there are average 651 priority requests and 286 priority buses every day, priority efficiency is 43.9%.The average speed of No.36 bus increased 15.8%, the delay time reduced 13.2%, the stopping times reduced 27%, the twice stop situation at intersections basically disappeared, average delay at each intersection increased 3%.

Development and Evaluation of a Green Wave Control Algorithm Based on Two-Way Bandwidth Maximization for Transit Signal Priority

2014 ◽  
Vol 505-506 ◽  
pp. 1046-1054 ◽  
Author(s):  
Liu Yi Gao ◽  
Xiao Jian Hu ◽  
Wei Wang ◽  
Shan Shan Yu
Keyword(s):  
Control Strategy ◽  
Traffic Control ◽  
Delay Time ◽  
Vehicular Traffic ◽  
Signal Design ◽  
Transit Signal Priority ◽  
Transit System ◽  
Travel Delay ◽  
The Impact ◽  
Wave Control

A good traffic signal design is one of the key solutions to many transportation problems. A two-way green wave control strategy for transit signal priority is reviewed and evaluated in this paper. Considering the traffic tidal phenomenon along the arterial roads during rush hours, a directional transit signal priority algorithm depend on the passenger flow has been developed for the coordination in signalized intersections. The algorithm provides signal timing plans for each intersection and the optimal bus speed along each section based on two-way bandwidth maximization. The strategy was designed to provide sectional control on transits, using electric signs and existing traffic control devices. In this paper, the strategys efficiency was evaluated using VISSIM micro-simulation along an arterial road which contains five intersections and serves more than ten bus lines. Actual data was used in the simulation. The simulation results show that the presented algorithm can effectively improve the operation efficiency of the transit system. This green wave control strategy reduced the number of stops by 34 % to 47 % and travel delay time by 27 % to 30% of the transit, while restricting the impact on vehicular traffic to the minimum. Moreover, the number of stops and travel delay time of vehicular traffic actually got a slight decrease. The algorithm shows promising results, and with minor upgrades, it can be applied to any type of intersection.

scholarly journals A case study of supply chain simulation for determining the best stock allocation

2018 ◽  
Vol 154 ◽  
pp. 01052
Author(s):  
Puryani ◽  
Yuli Dwi Astanti ◽  
Gity Nur Fitriani
Keyword(s):  
Cost Allocation ◽  
Allocation Policy ◽  
Inventory Allocation ◽  
Medium Enterprise ◽  
Simulation Results ◽  
Supply Chain Simulation ◽  
Stock Allocation ◽  
The Impact ◽  
New System

You Dare is a Small and Medium Enterprise (SME) engaged in fashion, namely the sale of shoes. The problems that occurred in Dare are their limit on the amount of the shoes supply from suppliers and the inventory allocation policies are unplanned, so the profit is not maximized. This study simulates inventory allocation policy that Dare applies to see the impact on profits of Dare then proceed with the design of new system scenarios. The new scenario aims to implement policies more appropriately to increase the profits of Dare. Simulations are performed with ProModel software.The results of this study indicate that the policy of only using intuition cannot maximize the profits. An appropriate policy to increase profits of Dare is to consider the demand and cost allocation. Based on simulation results, Dare will only have an average profit of IDR 52.187.000, whereas if Dare uses the proposed policy, the average profit will increase to IDR 55.948.000 within two years.

Real-Time Traffic Signal Control Based on Kalman Filtering Theory

2015 ◽  
Vol 713-715 ◽  
pp. 915-918
Author(s):  
Yuan Xin Xu ◽  
Wan Ying Yang ◽  
Wen Shi
Keyword(s):  
Kalman Filter ◽  
Traffic Flow ◽  
Control Method ◽  
Urban Traffic ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Traffic Flows ◽  
Traffic Lights ◽  
Real Time Traffic ◽  
Stable Signal

Aiming at the problem that individual control of urban traffic lights and stable signal timing. This paper proposed a real timing control method of traffic lights which based on Kalman filter. This method use Kalman filter to predict the next time traffic flows and then update the signal timing. By field researching the traffic flow of intersection in peak hour and predicting the traffic flow. Then update the signal timing. Meanwhile using the VISSIM to simulate the intersection. The result of the simulation shows that the length of vehicle queue decreased significantly and the number of stops dropped. The efficiency of access has been greatly improved.

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.

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