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.

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.

scholarly journals Modified Motor Vehicles Travel Speed Models on the Basis of Curb Parking Setting under Mixed Traffic Flow

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Zhenyu Mei ◽  
Jun Chen
Keyword(s):  
Traffic Flow ◽  
Travel Speed ◽  
The Other ◽  
Motor Vehicles ◽  
Model Parameters ◽  
Mixed Traffic ◽  
Ongoing Controversy ◽  
Urban Streets ◽  
Urban Street ◽  
Mixed Traffic Flow

The ongoing controversy about in what condition should we set the curb parking has few definitive answers because comprehensive research in this area has been lacking. Our goal is to present a set of heuristic urban street speed functions under mixed traffic flow by taking into account impacts of curb parking. Two impacts have been defined to classify and quantify the phenomena of motor vehicles' speed dynamics in terms of curb parking. The first impact is called Space impact, which is caused by the curb parking types. The other one is the Time impact, which results from the driver maneuvering in or out of parking space. In this paper, based on the empirical data collected from six typical urban streets in Nanjing, China, two models have been proposed to describe these phenomena for one-way traffic and two-way traffic, respectively. An intensive experiment has been conducted in order to calibrate and validate these proposed models, by taking into account the complexity of the model parameters. We also provide guidelines in terms of how to cluster and calculate those models' parameters. Results from these models demonstrated promising performance of modeling motor vehicles' speed for mixed traffic flow under the influence of curb parking.

scholarly journals Traffic Conflict Analysis of Motor Vehicles and Nonmotor Vehicles Based on Improved Cellular Automata

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Chenhao Dong ◽  
Rongguo Ma ◽  
Yujie Yin ◽  
Borui Shi ◽  
Wanting Zhang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
The Road ◽  
Physical Isolation ◽  
Traffic Environment ◽  
Electric Bicycles

In recent years, with the rapid development of China’s logistics industry and urban service industry, electric bicycles have gradually become an important means of transportation in cities due to their flexibility, green technology, and low operating costs. Because electric bicycles travel though motor vehicle lanes and nonmotor vehicle lanes, the conflict between motor and nonmotor vehicles has become increasingly prominent, and the safety situation is not optimistic. However, most theories and models of mixed traffic flow are based on motor vehicles and bicycles and few involve electric bicycles. To explore the traffic safety situation in an urban mixed traffic environment, this paper first uses cellular automata (CA) to establish a three-strand mixed traffic flow model of motor vehicles, electric bicycles, and bicycles and verifies the reliability of the model by using a MATLAB simulation based on the actual survey data. Then, using the technology of traffic conflicts and the conflict rate as the index to evaluate the traffic safety situation, the change in the conflict rate with different road occupancies and different proportional coefficients of motor vehicles is studied. In the end, the conflict rate is compared between the mixed traffic flow and the setting of a physical isolation divider, which provides some suggestions on when to set a physical isolation divider to separate motor vehicles from nonmotor vehicles. The results show that in a mixed traffic environment, the conflict rate first increases and then decreases with increasing road occupancy and reaches a peak when the road occupancy is 0.6. In addition, in mixed traffic environments, the conflict rate increases with an increasing proportional coefficient of the motor vehicle. When the road occupancy rate is within the range of [0.6, 0.9] or when the proportional coefficient of motor vehicle is between [0.8, 0.9], a physical isolation divider can be set to separate motor vehicles and nonmotor vehicles from the space to improve traffic safety.

Sign in / Sign up

Export Citation Format

Share Document