Energy dissipation of the mixed traffic system with automatic cruise

Liu-Hua, Zhu; Rong-Sen, Zheng; Huan-Huan, Tian; Wei, Yunfeng

doi:10.7498/aps.60.128901

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…The report shows that more than 20% fuel consumption and air pollution is caused by "go-and-stop" traffic [1]. Recently, the energy consumption in traffic system has been investigated by using car-following models [2] and cellular automaton models [3][4][5], respectively, and many meaningful conclusions have also been drawn. However, to our knowledge, energy consumptions induced by slowdown sections in traffic system have not been explored so far.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption in Traffic Flow with a Slowdown Section

Fan

Kuang

Zhang

et al. 2012

AMR

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Based on the Nagel-Schreckenberg model, an extended cellular automaton model is proposed to simulate the characteristics of the energy consumption in traffic flow with a slowdown section by considering the stochastic noise, the length and speed limit of the slowdown section. The simulation results show that the energy consumption is determined by the length Ls of the slowdown section as well as the speed limit Vs of the slowdown section. The smaller Vs and the larger Ls can effectively alleviate energy consumption. Through vehicle accidents and energy consumption analysis, an important conclusion is drawn that Vs =1 may be an optimum design to drive safely and reduce energy consumption from traffic control. Furthermore, the stochastic braking probability P has also an important effect on energy consumption.

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Section: Introductionmentioning

confidence: 99%

Energy Consumption in Traffic Flow with a Slowdown Section

Fan

Kuang

Zhang

et al. 2012

AMR

View full text Add to dashboard Cite

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Cellular automaton simulation of muti-lane traffic flow including emergency vehicle

Zhao¹,

Mao²

2013

Acta Phys. Sin.

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Based on the analysis of urban road traffic flow affected by emergency vehicle, a muti-lane cellular automaton model is established. Three characteristic variables are introduced to modify the lane change rules, including the give-way state variable, the affected areas of police siren and the safe distance for mandatory lane change. Numerical simulation results indicate that lane number and hybrid vehicle scale factor have a great influence on vehicle speed and lane change number in low-density range. And the parameter setting for affected areas of police siren changes the lane change number within a certain range. Meanwhile, the parameter of safe distance for mandatory lane change mainly affects emergency vehicle speed and lane change number. The study indicates that the appearance of emergency vehicle interferences with traffic flow of lower density obviously, and the proposed parameters make cellular automaton model closer to the actual traffic scenarios under emergency conditions.

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Energy dissipation of the mixed traffic system with automatic cruise

Cited by 2 publications

References 13 publications

Energy Consumption in Traffic Flow with a Slowdown Section

Energy Consumption in Traffic Flow with a Slowdown Section

Cellular automaton simulation of muti-lane traffic flow including emergency vehicle

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