scholarly journals Operational characteristics of mixed traffic flow under bi-directional environment using cellular automaton

2014 ◽  
Vol 1 (6) ◽  
pp. 383-392 ◽  
Author(s):  
Zhenke Luo ◽  
Yue Liu ◽  
Chen Guo
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
Operational Characteristics

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.

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.

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.

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

A refined and dynamic cellular automaton model for pedestrian–vehicle mixed traffic flow

2016 ◽  
Vol 27 (05) ◽  
pp. 1650053 ◽  
Author(s):  
Mianfang Liu ◽  
Shengwu Xiong
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Model Simulation ◽  
Mixed Traffic ◽  
Forward Movement ◽  
Lane Changing ◽  
Mixed Traffic Flow ◽  
Interactive Behavior ◽  
Proposed Model ◽  
Traffic Conflict

Mixed traffic flow sharing the “same lane” and having no discipline on road is a common phenomenon in the developing countries. For example, motorized vehicles (m-vehicles) and nonmotorized vehicles (nm-vehicles) may share the m-vehicle lane or nm-vehicle lane and pedestrians may share the nm-vehicle lane. Simulating pedestrian-vehicle mixed traffic flow consisting of three kinds of traffic objects: m-vehicles, nm-vehicles and pedestrians, can be a challenge because there are some erratic drivers or pedestrians who fail to follow the lane disciplines. In the paper, we investigate various moving and interactive behavior associated with mixed traffic flow, such as lateral drift including illegal lane-changing and transverse crossing different lanes, overtaking and forward movement, and propose some new moving and interactive rules for pedestrian–vehicle mixed traffic flow based on a refined and dynamic cellular automaton (CA) model. Simulation results indicate that the proposed model can be used to investigate the traffic flow characteristic in a mixed traffic flow system and corresponding complicated traffic problems, such as, the moving characteristics of different traffic objects, interaction phenomenon between different traffic objects, traffic jam, traffic conflict, etc., which are consistent with the actual mixed traffic system. Therefore, the proposed model provides a solid foundation for the management, planning and evacuation of the mixed traffic flow.

scholarly journals Study on the energy consumption of cellular automaton FI model for mixed traffic flow

2010 ◽  
Vol 59 (11) ◽  
pp. 7693
Author(s):  
Xue Yu ◽  
Wen Jian ◽  
Tian Huan-Huan ◽  
Kan San-Jun
Keyword(s):  
Energy Consumption ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Mixed Traffic ◽  
Mixed Traffic Flow
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