Development and Application of CHANSIGNAL Signal Timing Software System

2011 ◽  
Vol 135-136 ◽  
pp. 436-442
Author(s):  
Hong Chen ◽  
Ji Biao Zhou ◽  
Juan Sun
Keyword(s):  
Traffic Flow ◽  
Simulation Analysis ◽  
High Accuracy ◽  
Urban Traffic ◽  
Signal Timing ◽  
Mixed Traffic ◽  
Traffic Condition ◽  
Mixed Traffic Flow ◽  
Timing Model ◽  
Timing System

Considering the mixed traffic flow of current urban traffic condition in our country, the paper develops the CHANSIGNAL signal timing system based on the improved TRRL signal timing model. Through simulation analysis and case verification, the system presents the advantages of high accuracy, calculating speed in signal timing for intersection. The system significantly improves the traffic operating condition, which proves the system’s validity and practicality.

Dirty-Face Game Analysis on Mixed Traffic Flow at Unsignalized Intersection

2011 ◽  
Vol 201-203 ◽  
pp. 2119-2125
Author(s):  
Lu Wang ◽  
Neng Gang Xie ◽  
Rui Meng
Keyword(s):  
Traffic Flow ◽  
Behavior Pattern ◽  
Urban Traffic ◽  
Mixed Traffic ◽  
Security Risks ◽  
Game Analysis ◽  
Mixed Traffic Flow ◽  
Traffic Capacity ◽  
Traffic Conflicts ◽  
Behavior Characteristics

Mixed traffic flow is the basic characteristic of urban traffic. In pedestrian crosswalk without signals, there are a lot of traffic conflicts between pedestrians and vehicles crossing the intersection, which badly affects the traffic capacity and increases security risks. Through an analysis on the behavior pattern of pedestrians and vehicles crossing through the crosswalk, the paper first proposes a model based on dirty-face game to study the behavior characteristics of intersection traffic, which perfects analysis approaches to the traffic capacity of road crossing and the mixed traffic flow theory.

Two Dimensional Cellular Automaton Model of the Mixed Traffic Flow for Urban Traffic

2012 ◽  
Vol 241-244 ◽  
pp. 2082-2087
Author(s):  
Li Yang ◽  
Jun Hui Hu ◽  
Ling Jiang Kong
Keyword(s):  
Boundary Conditions ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Flow Model ◽  
Urban Traffic ◽  
Mixed Traffic ◽  
Traffic Flow Model ◽  
Traffic Lights ◽  
Mixed Traffic Flow ◽  
Transit Traffic

Based on the two-dimension cellular automaton traffic flow model (BML model), a mixed traffic flow model for urban traffic considering the transit traffic is established in this paper. Under the don't block the box rules and the opening boundary conditions, the impacts of transit traffic, the central station, traffic lights cycle, the vehicles length on the mixed traffic flow is studied by computer simulation. Some important characters appearing in the new model are also elucidated. It shows that traffic flow is closely related to traffic lights cycle, the geometric structure of transport network and boundary conditions. Under certain traffic light cycle time, the traffic flow has a periodical oscillation change. The comparison to practical measured data shows that our stimulation results are accordant with the changes of real traffic flow, which confirms the accuracy and rationality of our model.

Optimization of Signal Timing for the Mixed Traffic Flow in Vissim Simulation Environment

2012 ◽  
Vol 253-255 ◽  
pp. 1726-1730
Author(s):  
Jian Gang Qiao ◽  
Pei Hu ◽  
Dan Yu
Keyword(s):  
Traffic Flow ◽  
Conversion Factor ◽  
Motor Vehicles ◽  
Signal Timing ◽  
Mixed Traffic ◽  
Simulation Environment ◽  
Mixed Traffic Flow ◽  
Signal Time

In order to improve the capacity of urban roads and alleviate the intersections’ congestion, this paper analyses the characteristics of mixed traffic flow in China, considers non- motor vehicles’ impact to the intersections, uses definite number of conversion to convert non-motor vehicles to motor vehicles, and then recomposes the F-B signal timing formula based on the traditional F-B signal timing method. By an example and Vissim simulation, a reasonable conversion factor is computed, The recomposed F-B signal time formula can reduce the delay and improve the efficience of the intersections, providing a new idea to signal timing under the mixed traffic flow.

scholarly journals Trip Cost Estimation of Connected Autonomous Vehicle Mixed Traffic Flow in a Two-Route Traffic Network

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zhizhen Liu ◽  
Hong Chen ◽  
Hengrui Chen ◽  
Xiaoke Sun ◽  
Qi Zhang
Keyword(s):  
Bounded Rationality ◽  
Traffic Flow ◽  
Cost Estimation ◽  
Penetration Rate ◽  
Autonomous Vehicle ◽  
Flow Simulation ◽  
Mixed Traffic ◽  
Traffic Condition ◽  
Mixed Traffic Flow ◽  
Traffic Flow Simulation

With the advancement of connected autonomous vehicle (CAV) technology, research on future traffic conditions after the popularization of CAVs needs to be resolved urgently. Bounded rationality of human drivers is essential for simulating traffic flow precisely, but few studies focus on the traffic flow simulation considered bounded rationality in CAV mixed traffic flow. In this study, we introduce random bounded rationality into the hybrid feedback strategy (HFS) under CAV mixed traffic flow to explore the impacts of CAV penetration rate on the trip cost of vehicles. First, we investigated the bounded rationality of drivers, and we found that it follows normal contribution. Then, we proposed HFS considering random bounded rationality and the CAV penetration rate to simulate the traffic condition. The numerical results show that the enhancement of the CAV penetration rate could reduce total trip cost. The research could help us to simulate the CAVs mixed traffic flow more precisely and realistically.

The influence of bus stop on traffic flow with velocity-difference-separation model

2016 ◽  
Vol 27 (11) ◽  
pp. 1650135 ◽  
Author(s):  
Pengjun Zheng ◽  
Wei Wang ◽  
Hongxia Ge
Keyword(s):  
Traffic Flow ◽  
Urban Traffic ◽  
Traffic Density ◽  
Mixed Traffic ◽  
Velocity Difference ◽  
Mixed Traffic Flow ◽  
Bus Stop ◽  
Traffic State ◽  
Bus Stops ◽  
Separation Model

Based on velocity-difference-separation model, the mixed traffic flow on two-lane road is investigated. For a fixed road length, the influence of bus and bus stops on traffic flow is studied with the increasing traffic density. Compared with the result without bus stops given by Li et al., a new traffic state is found, which is valuable for studying the impacts of public transport on urban traffic flow.

scholarly journals A method to identify critical acceptance gap at conflict area: apply to vissim simulation

2014 ◽  
Vol 17 (2) ◽  
pp. 72-78
Author(s):  
Tan Hong Van
Keyword(s):  
Traffic Flow ◽  
High Accuracy ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
Conflict Area

The purposes of this study were to seek a method for modeling vehicle behavior at intersections based on field observing data, then to identify the critical acceptance gap for mixed traffic flow in Vietnam. The study also presented an example that applied this method to obtain the calibrated value for the critical acceptance gap for VISSIM simulation. With high accuracy in prediction of the exampled model and the validated result of simulating an intersection, it could be concluded that the method is effective in identifying the critical acceptance gap at intersections.

Research on the characteristics of mixed traffic flow based on an improved bicycle model

SIMULATION ◽  
2017 ◽  
Vol 94 (5) ◽  
pp. 451-462
Author(s):  
Peng Dong ◽  
Xifu Wang ◽  
Lifen Yun ◽  
Hongqiang Fan
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
The Road ◽  
Bicycle Model ◽  
Human Powered ◽  
Self Protection

Mixed traffic flow is a main feature of urban traffic in developing countries. Mixed bicycle flow includes human-powered and electric-powered bicycles and plays an important role in this mixed traffic flow. In mixed bicycle flow, cyclist behavior is flexible and variable. Cyclists move arbitrarily in the road and may influence the vehicle flow at intersections. Therefore, we first propose an improved bicycle model that can reproduce the main features of cyclist behavior, such as overtaking and self-protection. Then a simulation model based on the improved bicycle model is proposed to research the characteristics of mixed traffic flow in intersections. The conflict avoidance rules are then applied in the simulation model to eliminate traffic accidents. The simulation results indicate that the improved bicycle model is practical and that the density–velocity diagram of bicycle flow is similar to real traffic data. The existence of bicycle flow decreases vehicle velocity and worsens traffic flow in mixed traffic flow. However, the influence of bicycle flow might disappear at a particular vehicle density.

Sign in / Sign up

Export Citation Format

Share Document