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作 者:Hongsheng Qi
机构地区:[1]College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China
出 处:《International Journal of Transportation Science and Technology》2024年第3期226-243,共18页交通科学与技术(英文)
基 金:Project supported by the National Natural Science Foundation of China(Nos.52272314 and 52131202);The Ministry of Education in China Project of Humanities and Social Science(No.21YJCZH116);Zhejiang Province Public Welfare Scientific Research Project of China(No.LGF22E080007).
摘 要:Microscopic behavior modeling plays a critical role in traffic flow analyais,simulation,and autonomous vehicle algorithm development.Numerous efforts are devoted to the develop-ment of it in both longitudinal and lateral dimensions.Empirical observations reveal that jerk(the differential of acceleration)significantly influences traffic safety,with a speed-dependent jerk profile observed in both longitudinal and lateral movements.Replication of the speed-dependent jerk profile is crucial when the microscopic models are employed to the analysis of traffic safety.However,this research shows that current stochastic micro-scopic models cannot describe speed-dependent jerks,and thus cannot be directly used to describe driving behavior with considerable jerk profiles.This research firstly derives the jerk distribution for a general stochastic car following(CF)model,and then shows that sev-eral CF models together with lateral movement model cannot generate the realistic jerk distribution.A compound Poisson formulation is proposed to remedy the drawbacks of these models.The model consists of a diffusion part and a jump part.The former describes normal driving stochasticity,while the latter describes driving involving high jerk.The numerical studies show that the proposed model can replicate the speed-dependent jerk phenomenon.The propagation of the behavior in the traffic flow is also investigated.
关 键 词:Compound poisson process Car following(CF) JERK VOLATILITY Jump-diffusion process
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