Congestions and Spatiotemporal Patterns in a Cellular Automaton Model for Mixed Traffic Flow

2008 ◽  
Author(s):  
Xiao-Mei Zhao ◽  
Bin Jia ◽  
Zi-You Gao ◽  
Rui Jiang
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Spatiotemporal Patterns ◽  
Mixed Traffic ◽  
Mixed Traffic Flow

COMBINED CELLULAR AUTOMATON MODEL FOR MIXED TRAFFIC FLOW WITH NON-MOTORIZED VEHICLES

2010 ◽  
Vol 21 (12) ◽  
pp. 1443-1455 ◽  
Author(s):  
DONG-FAN XIE ◽  
ZI-YOU GAO ◽  
XIAO-MEI ZHAO
Keyword(s):  
Cellular Automaton ◽  
Flux Density ◽  
Traffic Flow ◽  
Critical Density ◽  
Cellular Automaton Model ◽  
Mixed Traffic ◽  
Density Region ◽  
Mixed Traffic Flow ◽  
Maximum Flux ◽  
Large Density

To depict the mixed traffic flow consisting of motorized (m-) and non-motorized (nm-) vehicles, a new cellular automaton model is proposed by combining the NaSch model and the BCA model, and some rules are also introduced to depict the interaction between m-vehicles and nm-vehicles. By numerical simulations, the flux-density relations are investigated in detail. It can be found that the flux-density curves of m-vehicle flow can be classified into two types, corresponding to small and large density regions of nm-vehicles, respectively. In small density region of nm-vehicles, the maximum flux as well as the critical density decreases with the increase of nm-vehicle density. Similar characteristics can also be found in large density region of nm-vehicles. However, compared with the former case, the maximum flux is much lower, the phase transition from free flow to congested flow becomes continuous and thus the corresponding critical points are non-existent. The flux-density curves of nm-vehicle flow can also be classified into two types. And interestingly, the maximum flux and the corresponding density decrease first and keep constant later as the density of m-vehicle increases. Finally, the total transport capacity of the system is investigated. The results show that the maximum capacity can be reached at appropriate proportions for m-vehicles and nm-vehicles, which induces a controlling method to promote the capacity of mixed traffic flow.

Cellular automaton model for mixed traffic flow with motorcycles

2007 ◽  
Vol 380 ◽  
pp. 470-480 ◽  
Author(s):  
Jian-ping Meng ◽  
Shi-qiang Dai ◽  
Li-yun Dong ◽  
Jie-fang Zhang
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Mixed Traffic ◽  
Mixed Traffic Flow

Study on pollutant emissions of mixed traffic flow in cellular automaton

2020 ◽  
Vol 537 ◽  
pp. 122686 ◽  
Author(s):  
Xue Wang ◽  
Yu Xue ◽  
Bing-ling Cen ◽  
Peng Zhang ◽  
Hong-di He
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Pollutant Emissions ◽  
Mixed Traffic ◽  
Mixed Traffic Flow

CELLULAR AUTOMATON MODELS FOR MIXED TRAFFIC FLOW CONSIDERING PASSAGE WAY OF EMERGENCY VEHICLE

2013 ◽  
Vol 27 (08) ◽  
pp. 1350052 ◽  
Author(s):  
HAN-TAO ZHAO ◽  
HONG-YAN MAO ◽  
RUI-JIN HUANG
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Average Density ◽  
Vehicle Speed ◽  
Emergency Vehicle ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
The Road ◽  
Emergency Vehicles ◽  
Computer Numerical Simulation

Two kinds of cellular automaton models are proposed for mixed traffic flow with emphasis on emergency vehicles. By analyzing the characteristics of ordinary vehicles in giving way to emergency vehicles, the rules for changing lanes are modified. Computer numerical simulation results indicate that an emergency vehicle without changing lanes can enhance speed with density lower than 0.1, while its speed can be enhanced by changing lane with density greater than 0.1. Meanwhile, vehicle speed and density within a certain range around emergency vehicles are lower than the road section average velocity and average density. The passage way of emergency vehicle that facilitate lane change causes less interference than that of an emergency vehicle which is unable to change lane. The study found that the physical characteristics of traffic flow when there are emergency vehicles are significantly different from routine traffic flow. Emergency vehicles can facilitate their passage by changing lanes at a medium or high density.

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.

scholarly journals A Mixed-Flow Cellular Automaton Model for Vehicle Nonstrict Priority Give-Way Behavior at Crosswalks

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yunxuan Li ◽  
Zeyang Cheng ◽  
Jian Lu ◽  
Lin Zhang
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Mixed Flow ◽  
Saturated Flow ◽  
Mixed Traffic Flow ◽  
Driving Behaviors ◽  
Bicycle Model ◽  
Negative Effect ◽  
Saturation Flow

The vehicle nonstrict priority give-way behavior (VNPGWB) is a common part of traffic interaction between motorized and nonmotorized vehicles in many countries. This study proposes a mixed-flow cellular automaton model to simulate the passing of vehicles in front of bicycles at crosswalks. The mixed-flow model combines a vehicle model with a bicycle model, using nonstrict priority give-way and strict give-way two driving behaviors defined as relating to the decision point rule and the launching rule, respectively. Simulation results showed that as the vehicle and bicycle inflow rates increased, a critical inflow rate divided vehicle and bicycle traffic flow into free flow and saturated flow conditions. The values of vehicle saturation flow decreased from 0.34 to 0.05, and the values of bicycle saturation flow decreased from 0.54 to 0.44, indicating that the mixed traffic flow has a negative effect on vehicle and bicycle saturated flow. Results also showed that VNPGWB effectively improves vehicle saturation flow over that of the strict give way. The advantage of VNPGWB is more significant when vehicles and bicycles are in saturation traffic flow.

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