scholarly journals Modeling urban expressway systems with ramps and accessory roads by cellular automaton model

2009 ◽  
Vol 58 (5) ◽  
pp. 3014
Author(s):  
Mei Chao-Qun ◽  
Huang Hai-Jun ◽  
Tang Tie-Qiao
Keyword(s):  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
Urban Expressway

scholarly journals A Division Method of Determining the Early-Warning Zone on an Expressway for Automated Vehicles

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jiawen Wang ◽  
Shaobo Li ◽  
Yining Lu ◽  
Lubang Wang
Keyword(s):  
Cellular Automaton ◽  
Early Warning ◽  
Cellular Automaton Model ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Traffic Incidents ◽  
Lane Changing ◽  
Automatic Driving ◽  
Urban Expressway

Using a cellular automaton model, this paper studied the evolution mechanism of traffic incidents affecting the capacity of urban expressway under the mixed traffic environment of manual driving and automatic driving. It showed that the length of the automated-driving early-warning zone could affect the capacity of expressway. Specifically, the early-warning zone is divided into an accelerate lane-changing area, a decelerate lane-changing area, and a forced lane-changing area. The areas vary according to the distance between the vehicle and the location of incident. Based on the study, this paper establishes a codirectional two-lane cellular automaton model. The analysis showed that the capacity of the urban expressway varies under different combinations of early-warning area length and division ratio of early-warning zone. In the case of two-lane reduction caused by traffic incidents, the capacity of the expressway is optimized when the length of early-warning zone is between 450 and 600 m, and the ratio of accelerate zone, decelerate zone, and forced zone to the length of early-warning zone is, respectively, 75%, 10%, and 15%. In addition, this study showed that the capacity will rise with the increase in automated vehicles.

A CELLULAR AUTOMATON MODEL FOR COLLECTIVE MOTION OF MICROORGANISMS

2007 ◽  
Vol 40 (9) ◽  
pp. 161-166
Author(s):  
Yasushi Iwatani ◽  
Koichi Hashimoto ◽  
Yuki Deguchi
Keyword(s):  
Cellular Automaton ◽  
Collective Motion ◽  
Cellular Automaton Model
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