scholarly journals Energy consumption investigation for a new car-following model considering driver’s memory and average speed of the vehicles

2018 ◽  
Vol 506 ◽  
pp. 1038-1049 ◽  
Author(s):  
Zhizhan Jin ◽  
Zaili Yang ◽  
Hongxia Ge
2015 ◽  
Vol 82 (1-2) ◽  
pp. 629-641 ◽  
Author(s):  
Yongfu Li ◽  
Li Zhang ◽  
Hong Zheng ◽  
Xiaozheng He ◽  
Srinivas Peeta ◽  
...  

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.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shihao Li ◽  
Rongjun Cheng ◽  
Hongxia Ge ◽  
Pengjun Zheng

Purpose The purpose of this study is to explore the influence of the electronic throttle (ET) dynamics and the average speed of multiple preceding vehicles on the stability of traffic flow. Design/methodology/approach An extended car-following model integrating the ET dynamics and the average speed of multiple preceding vehicles is presented in this paper. The novel model’s stability conditions are obtained by using the thought of control theory, and the modified Korteweg–de Vries equation is inferred in terms of the nonlinear analysis method. In addition, some simulation experiments are implemented to explore the properties of traffic flow, and the results of these experiments confirm the correctness of theoretical analysis. Findings In view of the results of theoretical analysis and numerical simulation, traffic flow will become more stable when the average speed and ET dynamics of multiple preceding vehicles are considered, and the stability of traffic flow will also be enhanced by increasing the number of preceding vehicles considered. Research limitations/implications This study leaves the factors such as the mixed traffic flow, the multilane and so on out of account in real road environment, which more or less influences the traffic flow’s stability, so the real traffic environment is not fully reflected. Originality/value There is little research integrating ET dynamics and the average velocity of multiple preceding vehicles to study the properties of traffic flow. The enhanced model constructed in this study can better reflect the real traffic, which can also give some theoretical reference for the development of connected and autonomous vehicles.


2015 ◽  
Vol 26 (08) ◽  
pp. 1550094 ◽  
Author(s):  
Shao-Wei Yu ◽  
Zhong-Ke Shi

To better describe cooperative car-following behaviors under intelligent transportation circumstances and increase roadway traffic mobility, the data of three successive following cars at a signalized intersection of Jinan in China were obtained and employed to explore the linkage between two preceding cars' average speed and car-following behaviors. The results indicate that two preceding cars' average velocity has significant effects on the following car's motion. Then an improved car-following model considering two preceding cars' average velocity was proposed and calibrated based on full velocity difference model and some numerical simulations were carried out to study how two preceding cars' average speed affected the starting process and the traffic flow evolution process with an initial small disturbance, the results indicate that the improved car-following model can qualitatively describe the impacts of two preceding cars' average velocity on traffic flow and that taking two preceding cars' average velocity into account in designing the control strategy for the cooperative adaptive cruise control system can improve the stability of traffic flow, suppress the appearance of traffic jams and increase the capacity of signalized intersections.


2021 ◽  
Author(s):  
Peng Guang-Han ◽  
Jia Teti ◽  
Kuang Hua ◽  
Tan Hui-Li ◽  
Chen Tao

Abstract A novel car-following model is offered based on the cooperative information transmission delayed effect involving headway and velocity under V2X environment. The stability conditions and mKdV equation of the new model are obtained via the linear and nonlinear analysis. Through numerical simulation, the variation trend of headway and hysteresis phenomenon are researched. At the same time, we investigated the additional energy consumption of the vehicle during acceleration. In brief, theoretical analysis and simulation results confirm that the new car-following model based on the cooperative information transmission delayed effect can improve traffic stability and reduce additional energy consumption.


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