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.

Influence of the Moving Bottleneck on the Traffic Flow on Expressway

2011 ◽  
Vol 97-98 ◽  
pp. 480-484 ◽  
Author(s):  
Qiao Ru Li ◽  
Yue Xiang Pan ◽  
Liang Chen ◽  
Chang Guang Cheng
Keyword(s):  
Traffic Flow ◽  
Wave Theory ◽  
Capacity Analysis ◽  
Kinematic Wave ◽  
Software Simulation ◽  
Low Speed ◽  
Traffic Capacity ◽  
Simulation Results

The mix rate of large trucks is extremely high on expressway in China. The influence of moving bottleneck on the traffic flow of the expressway is particularly serious. The moving bottleneck, formed due to the overtaking of the low-speed trucks, is analyzed with the kinematic wave theory and simulated by utilizing the VISSIM software. Simulation results indicate that increase of the traffic flow and the mix rate of trucks could aggravate the influence of the moving bottleneck on the traffic states, and decrease the speeds of cars significantly. This leads to the insufficient use of the expressway resources. The study result can contribute to the traffic capacity analysis of the expressway.

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.

Studies of vehicle overtaking dynamics and its influence on traffic flow at a bidirectional road

2017 ◽  
Vol 28 (06) ◽  
pp. 1750077 ◽  
Author(s):  
H. Echab ◽  
R. Marzoug ◽  
N. Lakouari ◽  
H. Ez-Zahraouy
Keyword(s):  
Phase Diagram ◽  
Traffic Flow ◽  
Periodic Boundary Condition ◽  
Periodic Boundary ◽  
Symmetric Model ◽  
Cellular Automata Model ◽  
Traffic Capacity ◽  
Different Types ◽  
Simulation Results ◽  
Apparent Influence

For the purposes of optimizing traffic flow composed of different types of vehicles, it is important to understand the interactions between them. This paper proposes a cellular automata model to investigate a bidirectional two-lane traffic flow under the periodic boundary condition. The vehicle flux and the phase diagrams of the system in the ([Formula: see text]) space are constructed by applying two different overtaking models (symmetric, asymmetric). The inter-lane correlation and the overtaking frequency are also studied. The simulation results show that the variation of the density of one lane has an apparent influence on the traffic of the adjacent lane. Furthermore, it is found that the phase diagram on both models is classified into several regions. Thus, for the symmetric model, as the overtaking probability increases, the traffic on the system becomes better. Likewise, the results also indicate that the asymmetric model can effectively enhance the traffic capacity and alleviate the congested state.

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

Traffic Flow Characteristics on a Three-Lane Rural Highway in Finland: Results from Empirical Studies and Simulations

1997 ◽  
Vol 1572 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Åsa Enberg ◽  
Matti Pursula
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Empirical Studies ◽  
Flow Characteristics ◽  
Field Studies ◽  
Optimum Length ◽  
Before And After ◽  
Traffic Flow Characteristics ◽  
Simulation Results ◽  
Rural Highway

The traffic-flow characteristics on an experimental, 20-km-long three-lane highway section in Finland were studied. The sections of highway that have a separate passing lane consist of three lanes. The central lane is assigned alternately to each direction as a passing lane with a length of 1.05 to 1.70 km. The lengths of the no-overtaking zones between successive passing lanes are 1.5 to 4.0 km. The traffic-flow characteristics on the three-lane highway have been observed by comprehensive before-and-after field studies and complementary simulations. Because it was possible to use passing lanes, the number of overtakings on the three-lane highway was remarkably higher than on the former two-lane highway. The overall average travel speeds were slightly higher, and the speed decreased a little more slowly with increasing flow on the three-lane compared with the two-lane highway. Overall platooning and mean platoon lengths decreased as a result of platoon dispersal on the passing lanes. The speeds used in the passing lanes were clearly higher than in the basic lanes. According to the simulation results, the optimum length for a single passing lane was between 0.5 and 2.5 km depending on flow rate and measure of effectiveness. For the actual three-lane highway conditions, passing lanes 1.0 to 1.5 km long seemed to bring the most benefits.

Improved efficient routing strategy on two-layer complex networks

2016 ◽  
Vol 27 (04) ◽  
pp. 1650044 ◽  
Author(s):  
Jinlong Ma ◽  
Weizhan Han ◽  
Qing Guo ◽  
Shuai Zhang ◽  
Junfang Wang ◽  
...  
Keyword(s):  
Complex Networks ◽  
Research Topic ◽  
Global Awareness ◽  
Traffic Dynamics ◽  
Shortest Path Routing ◽  
Transport Efficiency ◽  
Routing Strategy ◽  
Traffic Capacity ◽  
Traffic Performance ◽  
Simulation Results

The traffic dynamics of multi-layer networks has become a hot research topic since many networks are comprised of two or more layers of subnetworks. Due to its low traffic capacity, the traditional shortest path routing (SPR) protocol is susceptible to congestion on two-layer complex networks. In this paper, we propose an efficient routing strategy named improved global awareness routing (IGAR) strategy which is based on the betweenness centrality of nodes in the two layers. With the proposed strategy, the routing paths can bypass hub nodes of both layers to enhance the transport efficiency. Simulation results show that the IGAR strategy can bring much better traffic capacity than the SPR and the global awareness routing (GAR) strategies. Because of the significantly improved traffic performance, this study is helpful to alleviate congestion of the two-layer complex networks.

Organization Optimization of Traffic Engineering in Urban CBD

2013 ◽  
Vol 579-580 ◽  
pp. 890-893
Author(s):  
Mei Mei Huang ◽  
Qing Yang ◽  
Shang Lin Xiao
Keyword(s):  
Traffic Flow ◽  
Traffic Engineering ◽  
Queue Length ◽  
Motor Vehicle ◽  
Heavy Traffic ◽  
Optimization Methods ◽  
Difficult Problem ◽  
Signal Timing ◽  
Total Capacity ◽  
Business District

Orderly organization of traffic engineering in the urban CBD (Center Business District) is a difficult problem, with crowding people flow, heavy traffic flow and complex surrounding situation. This paper set CBD along Xinhua Street in Jinhua city center as an example, focused on the organization optimization process of traffic engineering in CBD. Through the survey on traffic engineering status of sections and intersections, it analyzed road congestion characteristics and intersection signal timing with Vissim software emulation, proposed traffic optimization methods as road channelization, intersection signal timing adjustment of Xinhua-Liberation Road. In Xinhua Street section, it can effectively canalized traffic flow by broadening 2 two-way lanes, adding four pedestrian crossing refuges, and separating Motor vehicle and non-motor vehicle separation barrier. It took queue length, number of stops, delay time three indicators as the objective function with the application of Synchro software adjusting the intersection signal timing. As a result, the total queue length could be reduced from 708.5m to 586.6m and total capacity from 2041 pcu/ h to 2838 pcu/ h.

Enabling Smart City With Intelligent Congestion Control Using Hops With a Hybrid Computational Approach

2020 ◽  
Author(s):  
Sagheer Abbas ◽  
Muhammad Adnan Khan ◽  
Atifa Athar ◽  
Syed Ali Shan ◽  
Anwar Saeed ◽  
...  
Keyword(s):  
Congestion Control ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Smart City ◽  
Computational Approach ◽  
Current Signal ◽  
The Past ◽  
The Subject ◽  
Simulation Results

ABSTRACT In a smart city, the subject of the congestion-free traffic has been leading objectives from the past decade, and many approaches are adopted to make congestion-free roads. These approaches and signals at one junction are not inter-linked with the signal at the previous one. Therefore, the traffic flow on the same road and at associative roads is not smooth. The study proposed a model with a hybrid computational approach in which the current signal incorporates the associative signals information. Simulation results have shown that the proposed approach gives more attractive results as compared to previously published approaches. It will help improve the flow of traffic and reduce traffic congestion.

Improved Baseband Mapping Method for G3 OFDM Technology

2013 ◽  
Vol 385-386 ◽  
pp. 1318-1321
Author(s):  
Zhi Ru Gu ◽  
Da Wei Liu ◽  
Hong Li Liu ◽  
Kun Xu
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Mapping Method ◽  
Power Line Communication ◽  
Frequency Division ◽  
Soft Decision ◽  
Decision Algorithm ◽  
Log Likelihood ◽  
Simulation Results ◽  
Improvement Scheme ◽  
Encoding Method

G3-PLC, an orthogonal frequency division multiplexing (OFDM) power line communication solution, has recently gained a lot of attention. It supports the application of four types of baseband mapping modes in different environments. These modes typically require a hard-decision demodulation, which will lead to nearly 3dB preference loss. In this paper, we propose an improvement scheme for the baseband mapping modes by changing the constellation encoding method. The optimal soft decision algorithm which makes use of log likelihood ratio (LLR) of the probabilities is used in the demodulators. Simulation results show that the proposed scheme can outperformer many existing algorithms.

Sign in / Sign up

Export Citation Format

Share Document