This study develops a mixed behavioural equilibrium model with explicit consideration of mode choice(MBE-MC)in a transportation system where fully automated vehicles(AV)coexist with conventional human-driven vehicles(...This study develops a mixed behavioural equilibrium model with explicit consideration of mode choice(MBE-MC)in a transportation system where fully automated vehicles(AV)coexist with conventional human-driven vehicles(HV).For the mode choice,travellers select among three options,following a logit modal split:driving their private HV,or taking an AV mobility service provided by either a firm or the government.For the route choice,the HV drivers follow the random utility maximisation principle while central agents route the AV passengers following the Cournot Nash(firm agent)or Social Optimal(government agent)principles.We consider two types of travel costs(i.e.travel time and monetary travel cost)to characterise the new features(e.g.expanded link capacity and reduced value of time)of the mixed AVeHV transportation system.We model the MBE-MC problem in a combined modeeroute choice framework and formulate it as a route-based variational inequality(VI)problem.We show the equivalence between the VI formulation and the MBE-MC problem,and the existence of a solution to the MBE-MC problem.Then,we modify a partial linearisation algorithm for solving the proposed model.Numerical results validate the equilibrium conditions and show the efficacy of the new model in capturing the features of the mixed AVeHV transportation system.The impact patterns of different parameters on(1)the network performance in terms of AV share and system cost and(2)on the solution efficiency are analysed.展开更多
基金supported by the National Natural Science Foundation of China(71801106)the Science Foundation of Ministry of Education of China(17YJC630150)+1 种基金Hubei Provincial Natural Science Foundation of China(2020CFB264)the research program of“Development of Data-driven Solution for Social Issue”funded by the Korea Institute of Science and Technology Information(K-20-L01-C06-S01)
文摘This study develops a mixed behavioural equilibrium model with explicit consideration of mode choice(MBE-MC)in a transportation system where fully automated vehicles(AV)coexist with conventional human-driven vehicles(HV).For the mode choice,travellers select among three options,following a logit modal split:driving their private HV,or taking an AV mobility service provided by either a firm or the government.For the route choice,the HV drivers follow the random utility maximisation principle while central agents route the AV passengers following the Cournot Nash(firm agent)or Social Optimal(government agent)principles.We consider two types of travel costs(i.e.travel time and monetary travel cost)to characterise the new features(e.g.expanded link capacity and reduced value of time)of the mixed AVeHV transportation system.We model the MBE-MC problem in a combined modeeroute choice framework and formulate it as a route-based variational inequality(VI)problem.We show the equivalence between the VI formulation and the MBE-MC problem,and the existence of a solution to the MBE-MC problem.Then,we modify a partial linearisation algorithm for solving the proposed model.Numerical results validate the equilibrium conditions and show the efficacy of the new model in capturing the features of the mixed AVeHV transportation system.The impact patterns of different parameters on(1)the network performance in terms of AV share and system cost and(2)on the solution efficiency are analysed.
