Customized bus service design for uncertain commuting travel demand

Dou, Xueping; Meng, Qiang; Liu, Kai

doi:10.1080/23249935.2020.1864509

Cited by 33 publications

(12 citation statements)

References 42 publications

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“…Since EFLP is an NP-hard problem, a heuristic method [23,25,38], GA [39], is applied. The algorithm-solving process is shown in Figure 1 as follows:…”

Section: Heuristic Solutionmentioning

confidence: 99%

Optimal Location of Emergency Facility Sites for Railway Dangerous Goods Transportation under Uncertain Conditions

Wang

Chen

et al. 2023

Applied Sciences

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Railroad accidents involving dangerous goods (DG) need to be rescued quickly due to their hazardous nature. This paper proposes an emergency facility location model for the railway dangerous-goods transportation problem (RDGT-EFLP, abbreviated as EFLP). The EFLP model is based on an ellipsoidal robust model that introduces a robust control safety parameter Ω to measure the risk preferences of decision makers and limits the range of uncertain demand, the range of uncertain service and the range of safety parameters to find the solution for siting emergency facilities, when the time and location of emergency events are unknown. The model is solved using a genetic algorithm (GA) and real data after abstraction. Finally, a comprehensive analysis of the solution results under different maximum overcoverages illustrates the feasibility and effectiveness of the model.

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“…Since EFLP is an NP-hard problem, a heuristic method [23,25,38], GA [39], is applied. The algorithm-solving process is shown in Figure 1 as follows:…”

Section: Heuristic Solutionmentioning

confidence: 99%

Optimal Location of Emergency Facility Sites for Railway Dangerous Goods Transportation under Uncertain Conditions

Wang

Chen

et al. 2023

Applied Sciences

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“…Chang and Schonfeld (1991) have undertaken one of the first studies of flexible bus service methods, which analytically compares the subscription feeder bus system with the conventional one. In recent years, several optimization models have addressed the operation-planning process of CB service design determining timetables, routes, stop locations, and passengers' assignment (Guo et al, 2019;Qiu et al, 2019;Dou et al, 2020;Ma et al, 2020;Sun et al, 2020;Cao and Wang, 2016).…”

Section: Related Workmentioning

confidence: 99%

Environmental and social implications of incorporating carpooling service on a customized bus system

Asghari

Al-e-hashem

Rekik

2022

Computers & Operations Research

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“…Simulation-based optimization was used to operate the system, and the model was solved by iterated local search metaheuristics. Dou et al [29] studied the influence of demand uncertainty on the customized reservation bus system by using a mixed-integer linear programming model. A branch-and-price method and a column-generation-based heuristic method were used to solve the model.…”

Section: Traditional Vehicle Sharing Reservation Servicesmentioning

confidence: 99%

Evaluating the Impacts of Optimization Horizon on the Shared Autonomous Vehicle Reservation Request System

Yang

Cui

et al. 2022

Journal of Advanced Transportation

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With the development of technology, shared autonomous vehicles may become one of the main traffic modes in the future. Especially, shared autonomous vehicle reservation system, commuting, and other trips with fixed departure time mostly submit their travel requests in advance. Therefore, it is important to reasonably match shared autonomous vehicles and reservation demands. In this paper, reservation requests are divided into short-term and long-term requests by inputting requests in a more realistic way. An integer linear programming model considering operator scheduling cost and system service level is established. A detailed scheme considering rolling horizon continuity and ridesharing is used to improve the dispatching result. Based on traffic data in Delft, the Netherlands, 164 scenarios are tested in which the parking cost, fuel cost, ridesharing effect, service level, and network size are analyzed. The results show that a better relocation and ridesharing matching scheme can be obtained when the rolling horizon is small, while the overall effect is better when the rolling horizon is large. Moreover, the buffer time, distance, and travel time limit for vehicle relocation should be selected according to the request quantity and the calculation time requirement. The result can provide a suggestion for the dispatching of shared autonomous vehicle reservation system with ridesharing.

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Customized bus service design for uncertain commuting travel demand

Cited by 33 publications

References 42 publications

Optimal Location of Emergency Facility Sites for Railway Dangerous Goods Transportation under Uncertain Conditions

Optimal Location of Emergency Facility Sites for Railway Dangerous Goods Transportation under Uncertain Conditions

Environmental and social implications of incorporating carpooling service on a customized bus system

Evaluating the Impacts of Optimization Horizon on the Shared Autonomous Vehicle Reservation Request System

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