Distribution path robust optimization of electric vehicle with multiple distribution centers

Ma, Changxi; Hao, Wei; He, Ruichun; Jia, Xiaoyan; Pan, Fuquan; Fan, Jing; Xiong, Ruiqi

doi:10.1371/journal.pone.0193789

Cited by 51 publications

(25 citation statements)

References 21 publications

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“…e development trend prediction model of network recurrent tra c congestion can be constructed by using a deep for people to reveal the evolution law of tra c congestion and scienti cally control tra c ow [82][83][84][85][86][87][88][89][90][91].…”

Section: Using Deep Learning Eory To Predict the Development Trend Ofmentioning

confidence: 99%

Evolution Regularity Mining and Gating Control Method of Urban Recurrent Traffic Congestion: A Literature Review

Zhou

et al. 2020

Journal of Advanced Transportation

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To understand the status quo of urban recurrent traffic congestion, the current results of recurrent traffic congestion, and gating control are reviewed from three aspects: traffic congestion identification, evolution trend prediction, and urban road network gating control. Three aspects of current research are highlighted: (a) The majority of current studies are based on statistical analyses of historical data, while congestion identification is performed by acquiring small-scale traffic parameters. Thus, congestion studies on the urban global roadway network are lacking. Situation identification and the failure to effectively warn or even avoid traffic congestion before congestion forms are not addressed; (b) correlation studies on urban roadway network congestion are inadequate, especially regarding deep learning, and considering the space-time correlation for congestion evolution trend prediction; and (c) quantitative research methods, dynamic determination of gating control areas, and effective countermeasures to eliminate traffic congestion are lacking. Regarding the shortcomings of current studies, six research directions that can be further explored in the future are presented.

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Section: Using Deep Learning Eory To Predict the Development Trend Ofmentioning

confidence: 99%

Evolution Regularity Mining and Gating Control Method of Urban Recurrent Traffic Congestion: A Literature Review

Zhou

et al. 2020

Journal of Advanced Transportation

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“…(2) Not all time and space (referred to as space-time, the same as followings) are suitable for transporting hazardous materials. e existing research results on the dispatching of fleets have not covered the topic of "space-time screening of alternative transport of hazardous materials" [111][112][113][114][115][116][117][118]. However, this topic must be determined before optimizing the dispatch plan of hazardous materials transport fleet.…”

Section: Problems In Current Researchmentioning

confidence: 99%

Fleet Scheduling Optimization of Hazardous Materials Transportation: A Literature Review

Zhou

et al. 2020

Journal of Advanced Transportation

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To comprehensively understand the research progress of the fleet scheduling for hazardous materials, the study has summarized the corresponding research results from three aspects (a) hazardous materials transportation risk, (b) route optimization, and (c) fleet scheduling, and then pointed out potential problems from six aspects: (a) the coupling risk of the transport fleet; (b) the screening of time and space for the transport of hazardous materials; (c) the scheduling optimization for transport fleets; (d) taking insufficient account of transport risks fairness; (e) insufficient robustness of scheduling schemes; and (f) lacking of research results on fleet scheduling of transport in the context of antiterrorism. After that, by considering the existing shortcomings of the current research, five research directions are presented that should be further explored in the future. Subsequently, both rough set and association rule theory is applied to explore the cause chain of transportation accidents for hazardous materials, and analyze the mechanism of transport accident for hazardous materials. Next, the Bayesian network is presented to predict the accident rate of hazardous materials transportation under different temporal and spatial conditions, and the dynamic rolling scheduling method of hazardous materials transport fleet is constructed under normal and antiterrorism background.

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“…Each vehicle can service several customer demand points while each customer demand point only can be serviced by one vehicle. After completing the transport mission, the vehicles must return to the distribution center [24].…”

Section: Multiobjective Route Robust Optimization Model Of Hazmat Tramentioning

confidence: 99%

A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation

Hao

et al. 2018

Discrete Dynamics in Nature and Society

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Aiming at route optimization problem of hazardous materials transportation in uncertain environment, this paper presents a multiobjective robust optimization model by taking robust control parameters into consideration. The objective of the model is to minimize not only transportation risk but also transportation time, and a robust counterpart of the model is introduced through applying the Bertsimas-Sim robust optimization theory. Moreover, a fuzzy C-means clustering-particle swarm optimization (FCMC-PSO) algorithm is designed, and the FCMC algorithm is used to cluster the demand points. In addition the PSO algorithm with the adaptive archives grid is used to calculate the robust optimization route of hazmat transportation. Finally, the computational results show the multiobjective route robust optimization model with 3 centers and 20 demand points’ sample studied and FCMC-PSO algorithm for hazmat transportation can obtain different robustness Pareto solution sets. As a result, this study will provide basic theory support for hazmat transportation safeguarding.

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Distribution path robust optimization of electric vehicle with multiple distribution centers

Cited by 51 publications

References 21 publications

Evolution Regularity Mining and Gating Control Method of Urban Recurrent Traffic Congestion: A Literature Review

Evolution Regularity Mining and Gating Control Method of Urban Recurrent Traffic Congestion: A Literature Review

Fleet Scheduling Optimization of Hazardous Materials Transportation: A Literature Review

A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation

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