Research on the Traffic Control Optimization at Weigong Village Intersection in Beijing

2014 ◽  
Vol 644-650 ◽  
pp. 2619-2622
Author(s):  
Zi Qing Li ◽  
Rui Song
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Field Survey ◽  
Service Level ◽  
Signal Timing ◽  
Related Data ◽  
Traffic Conditions ◽  
Control Optimization ◽  
Traffic Capacity ◽  
Control Scheme

The traffic flow, existing signal timing, lane arrangement and other field survey data were analyzed and computed in the paper first. Next, the traffic capacity and service level of Weigong village intersection were evaluated. Finally, Using Webster method to calculate the related data of signal timing, and Vissim are used to simulate the traffic conditions of the intersection. The result of simulation indicated that the optimized traffic control scheme reached the goal improving the operational condition of Weigong village intersection and unobstructed degree of road.

A Traffic Capacity Model of Lane Occupation

2014 ◽  
Vol 599-601 ◽  
pp. 2083-2087
Author(s):  
Yi Xuan He
Keyword(s):  
Traffic Flow ◽  
Queue Length ◽  
Production Condition ◽  
Modern Society ◽  
Traffic Jam ◽  
Traffic Flow Theory ◽  
Related Data ◽  
Traffic Capacity ◽  
Capacity Model ◽  
Big City

In modern society, traffic jam has already become a major problem which curbs the development of big city. And lane occupation is an important reason why traffic jam happens. After studying on the production condition, time and queue length of traffic jam after lane occupation happens, we propose a model based on famous traffic flow theory and we use related data to verify the rightness of our model. Result shows that our model can predict the development of traffic jam caused by lane occupation

Simulation Research of Flow and Speed on Urban Expressway Interchange Entrance

2013 ◽  
Vol 779-780 ◽  
pp. 796-799
Author(s):  
Liang Wang ◽  
Yu Jie Wang ◽  
Ling Yu Wang
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Service Level ◽  
Simulation Software ◽  
Simulation Research ◽  
Main Road ◽  
Microscopic Traffic Simulation ◽  
Urban Expressway ◽  
Traffic Capacity ◽  
And Control

The urban expressway overpass entrance is an important node of the urban road system. Traffic jams often happen at entrance. The characteristics of urban expressway entrance and the advantages of the microscopic traffic simulation were combined to analyze capacity of entrance. VISSIM simulation software was used and the validity of the simulation model was verified. The influence of the main road traffic flow and the desired speed of entrance to flow and speed of the urban expressway entrance were analyzed through simulation experiment. On the whole, traffic capacity of urban expressway entrance reduces with the increase of traffic flow on the main road. The higher the desired speed is, the faster traffic capacity reduces. The increase of speed and control of main road traffic flow is of great significance for improving the capacity and service level of expressway.

Optimization of Signal Intersection with the Combination of VISSIM and SYNCHRO

2014 ◽  
Vol 988 ◽  
pp. 517-520
Author(s):  
Ying Chong Wang
Keyword(s):  
Traffic Flow ◽  
Signal Timing ◽  
Traffic Capacity ◽  
Improvement Measures ◽  
Simulation Results ◽  
Improvement Scheme

This paper take Xing Tan road and Wen Huiyuan Road intersection in Beijing for example, get the peak hour traffic flow of the intersection through investigation, and analyzed the causes which affected the traffic capacity of the intersection, put forward improvement measures. Then the SYNCHRO software was used for optimizing intersection signal timing, the VISSIM software was used for simulating the present and after implementing improvement scheme situations. The simulation results showed that the proposed scheme was effective.

scholarly journals Optimization of cycle time on signalized intersections of H.E.A Mokodompit Street – M.T Haryono – H.A. Nasution Kendari city based on traffic flow volume

2021 ◽  
Vol 1 (1) ◽  
pp. 039-048
Author(s):  
Ridwan Syah Nuhun ◽  
Usman Rianse ◽  
Marsuki Iswandi ◽  
Adris Ade Putra ◽  
Abdul Kadir ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Cycle Time ◽  
Traffic Control ◽  
Service Level ◽  
Light Signal ◽  
Signalized Intersections ◽  
Degree Of Saturation ◽  
Traffic Light ◽  
The North ◽  
Control Light

Intersection of H.E.A. Mokodompit Street – M.T. Haryono – H.A. Nasution is one of the signalized intersections in Kendari City which has congestion problems, vehicle accumulation and vehicle queues at each arm of the intersection at rush hour due to the large volume of traffic flow and not optimal cycle timing from the traffic light signal. The purpose of this study is to optimize the cycle time of traffic control light signals based on traffic volume and to analyze the performance of these intersections. The results of the analysis based on the volume of traffic flow obtained the optimal cycle time of 72 seconds with the division of green time in each approach by 18 seconds for the north approach, 14 seconds for the eastern approach and 28 seconds for the south approach. The degree of saturation at each intersection arm is 0.82 which is at the service level D.

scholarly journals Simultaneous Optimization of Vehicle Arrival Time and Signal Timings within a Connected Vehicle Environment

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 191 ◽  
Author(s):  
Wei Wu ◽  
Ling Huang ◽  
Ronghua Du
Keyword(s):  
Traffic Control ◽  
Arrival Time ◽  
Compliance Rate ◽  
Travel Speed ◽  
Simultaneous Optimization ◽  
Signal Timing ◽  
Connected Vehicle ◽  
Traffic Conditions ◽  
Proposed Model ◽  
Guidance Model

Most existing signal timing plans are optimized given vehicles’ arrival time (i.e., the time for the upcoming vehicles to arrive at the stop line) as exogenous input. In this paper, based on the connected vehicle (CV) technique, vehicles can be regarded as moving sensors, and their arrival time can be dynamically adjusted by speed guidance according to the current signal status and traffic conditions. Therefore, an integrated traffic control model is proposed in this study to optimize vehicle arrival time (or travel speed) and signal timing simultaneously. “Speed guidance model at a red light” and “speed guidance model at a green light” are presented to model the influences between travel speed and signal timing. Then, the methods to model the vehicle arrival time, vehicle delay, and number of stops are proposed. The total delay, which includes the control delay, queuing delay, and signal delay, is used as the objective of the proposed model. The decision variables consist of vehicle arrival time, starting time of green, and duration of green for each phase. The sliding time window is adopted to dynamically tackle the problems. Compared with the results optimized by the classical actuated signal control method and the fixed-time-based speed guidance model, the proposed model can significantly decrease travel delays as well as improve the flexibility and mobility of traffic control. The sensitivity analysis with the communication distance, the market penetration of connected vehicles, and the compliance rate of speed guidance further demonstrates the potential of the proposed model to be applied in various traffic conditions.

Study on Regional Traffic Control Optimization Based on State Analysis

2010 ◽  
Vol 44-47 ◽  
pp. 3959-3964
Author(s):  
Liang Zhi Zhang ◽  
Lei Jia ◽  
Mi Nai He
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Traffic Control ◽  
User Equilibrium ◽  
Solution Procedure ◽  
Design Parameters ◽  
Signal Control ◽  
Control Optimization ◽  
Proposed Model ◽  
Control Scheme

The aim of regional traffic control optimization is to find the optimal design parameters while thinking over the route choice of users. This problem can be formulated as a bi-level programming program. In the program, signal control scheme and user equilibrium traffic assignment are optimized in the upper and lower level respectively. The solution procedure developed with the genetic algorithm has been tested with an example of factual road network.Numerical experiment verified the proposed model is quite promising for use in design of regional signal control.

Adaptive Cruise Control Operation for Improved Motorway Traffic Flow

2018 ◽  
Vol 2672 (22) ◽  
pp. 24-35 ◽  
Author(s):  
Anastasia Spiliopoulou ◽  
Diamantis Manolis ◽  
Foteini Vandorou ◽  
Markos Papageorgiou
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Adaptive Cruise Control ◽  
Cruise Control ◽  
Microscopic Simulation ◽  
Traffic Conditions ◽  
Control Concept ◽  
Vehicle Delay ◽  
Potential Benefits

This study presents an ACC (adaptive cruise control)–based traffic control strategy which aims to adapt in real time the driving behavior of ACC-equipped vehicles to the prevailing traffic conditions so that motorway traffic flow efficiency is improved. The potential benefits obtained by applying the proposed control concept are demonstrated for different ACC penetration rates by use of validated microscopic simulation applied to a real motorway stretch where recurrent traffic congestion is created under the current manual driving conditions because of an on-ramp bottleneck. The simulation results demonstrate that, even for low penetration rates of ACC vehicles, the proposed control concept improves the average vehicle delay and fuel consumption by reducing the space-time extent of congestion compared with the case of only manually driven or regular ACC vehicles.

scholarly journals Urban road traffic flow control under incidental congestion as a function of accident duration

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 1085-1093
Author(s):  
Yang Xu ◽  
Duojia Zhang ◽  
Ahmad Jalal Khan Chowdhury
Keyword(s):  
Flow Control ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Abrupt Increase ◽  
Urban Road ◽  
Catastrophe Model ◽  
Traffic Capacity ◽  
Control Scheme

Abstract An abrupt increase in urban road traffic flow caused by incidental congestion is considered. The residual traffic capacity varies in different lanes after an accident, and the influence of accident duration on traffic flow is taken into account. The swallowtail catastrophe model was built based on catastrophe theory. The critical state of traffic congestion under incidental congestion was analyzed using this model, and a traffic flow control scheme is proposed with the goal of maximizing the traffic capacity. Finally, the operational state of traffic flow under different scenarios is analyzed through case study and the feasibility of the model is validated.

scholarly journals How To Improve Urban Intelligent Traffic? A Case Study Using Traffic Signal Timing Optimization Model Based On Swarm Intelligence Algorithm

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2631
Author(s):  
Xiancheng Fu ◽  
Hengqiang Gao ◽  
Hongjuan Cai ◽  
Zhihao Wang ◽  
Weiming Chen
Keyword(s):  
Traffic Flow ◽  
Optimization Model ◽  
Traffic Congestion ◽  
Delay Time ◽  
Traffic Signal ◽  
Urban Traffic ◽  
Signal Timing ◽  
Average Delay ◽  
Traffic Capacity ◽  
Traffic Signal Timing

Traffic congestion is a major problem in today’s society, and the intersection, as an important hub of urban traffic, is one of the most common places to produce traffic congestion. To alleviate the phenomenon of congestion at urban traffic intersections and relieve the traffic pressure at intersections, this paper takes the traffic flow at intersections as the research object and adopts the swarm intelligent algorithm to establish an optimization model of intersection traffic signal timing, which takes the average delay time of vehicles, the average number of stops of vehicles and the traffic capacity as the evaluation indexes. This model adjusts the intersection traffic signal timing intelligence according to the real-time traffic flow and carries out simulation experiments with MATLAB. Compared with the traditional timing schemes, the average delay time of vehicles is reduced by 10.25%, the average number of stops of vehicles is reduced by 24.55%, and the total traffic capacity of the intersection is increased by 3.56%, which verifies that the scheme proposed in this paper is effective in relieving traffic congestion.

scholarly journals A Sarsa(λ)-Based Control Model for Real-Time Traffic Light Coordination

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xiaoke Zhou ◽  
Fei Zhu ◽  
Quan Liu ◽  
Yuchen Fu ◽  
Wei Huang
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Traffic Control ◽  
Learning Algorithm ◽  
Control Model ◽  
Traffic Signal ◽  
Signal Timing ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Traffic Signal Timing

Traffic problems often occur due to the traffic demands by the outnumbered vehicles on road. Maximizing traffic flow and minimizing the average waiting time are the goals of intelligent traffic control. Each junction wants to get larger traffic flow. During the course, junctions form a policy of coordination as well as constraints for adjacent junctions to maximize their own interests. A good traffic signal timing policy is helpful to solve the problem. However, as there are so many factors that can affect the traffic control model, it is difficult to find the optimal solution. The disability of traffic light controllers to learn from past experiences caused them to be unable to adaptively fit dynamic changes of traffic flow. Considering dynamic characteristics of the actual traffic environment, reinforcement learning algorithm based traffic control approach can be applied to get optimal scheduling policy. The proposed Sarsa(λ)-based real-time traffic control optimization model can maintain the traffic signal timing policy more effectively. The Sarsa(λ)-based model gains traffic cost of the vehicle, which considers delay time, the number of waiting vehicles, and the integrated saturation from its experiences to learn and determine the optimal actions. The experiment results show an inspiring improvement in traffic control, indicating the proposed model is capable of facilitating real-time dynamic traffic control.

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