An extended car-following model considering driver’s memory and average speed of preceding vehicles with control strategy

2019 ◽  
Vol 521 ◽  
pp. 752-761 ◽  
Author(s):  
Yuqing Sun ◽  
Hongxia Ge ◽  
Rongjun Cheng
2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Cong Zhai ◽  
Weiming Liu ◽  
Ling Huang

Considering the driver’s sensing the headway and velocity the different time-varying delays exist, respectively, and the sensitivity of drivers changes with headway and speed. Introducing the fuzzy control theory, a new fuzzy car-following model with two delays is presented, and the feedback control strategy of the new fuzzy car-following model is studied. Based on the Lyapunov function theory and linear matrix inequality (LMI) approach, the sufficient condition that the existence of the fuzzy controller is given making the closed-loop system is asymptotic, stable; namely, traffic congestion phenomenon can effectively be suppressed, and the controller gain matrix can be obtained via solving linear matrix inequality. Finally, the simulation examples verify that the method which suppresses traffic congestion and reduces fuel consumption and exhaust emissions is effective.


2015 ◽  
Vol 738-739 ◽  
pp. 267-270
Author(s):  
Xiu Yun Li ◽  
Tong Zhou ◽  
Yan Jun Ren ◽  
Yu Xuan Li

Based on the pioneer work of Konishi et al, an improved coupled-map car-following model is proposed by considering the effect of information about two preceding vehicles to the considered one. The stable conditions under which the traffic jam can be suppressed are analyzed by applying control theory. The results are compared with that of Konishi et al. The simulation results show that the new model with the control strategy could suppress the traffic jam more effectively.


2017 ◽  
Vol 20 (2) ◽  
pp. 689-696 ◽  
Author(s):  
Yi-ming Zheng ◽  
Rong-jun Cheng ◽  
Hong-xia Ge ◽  
Siu-ming Lo

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Yi-rong Kang ◽  
Di-hua Sun ◽  
Shu-hong Yang

A new car following model considering the effect of average speed information of preceding vehicles group in real traffic is presented. Based on the new car following model, a new macro model for traffic flow is proposed employing the relationship between the micro and macro variables. The linear stability condition of the macro model is obtained by using the linear stability theory. The numerical tests show that the new model can not only simulate the dynamic process of shock, rarefaction wave, and small perturbation, but also can further stabilize the traffic flow.


2012 ◽  
Vol 241-244 ◽  
pp. 2064-2071
Author(s):  
Xi Min Liu ◽  
Shou Feng Lu

The aim of the paper is to study the effect of the weaving section length on traffic flow operating under the different traffic demand. The paper uses the optimal velocity car-following model and symmetric lane-changing rule to simulate traffic flow operating in the weaving section, and calculate the headway and average speed under the different weaving section length. The results show that there is a critical value for the weaving section length. When the weaving section length is less than a critical value, the space headway significantly increase and the speed significantly decrease. When the weaving section length is larger than the critical value, the increased weaving section length has little improvement of traffic flow performance. The study proposes the critical value for the weaving section length of city expressway. Lastly, the paper analyzed the trajectory of traffic flow in the phase space of speed and space headway.


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