Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology

Wu, Weitiao; Liu, Ronghui; Jin, Wenzhou; Ma, Changxi

doi:10.1016/j.tre.2019.08.012

Cited by 90 publications

(28 citation statements)

References 40 publications

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“…The approach was tested in a circular bus line in Singapore demonstrating a potential performance improvement of more than 10% at worst-case scenarios. Wu et al (2019) proposed a robust optimization model for the stop-skipping problem considering vehicle overtakings and demand dynamics for minimizing the user and operation costs at the planning phase.…”

Section: Stop-skipping At the Tactical Planning Levelmentioning

confidence: 99%

Stop-skipping in rolling horizons

Gkiotsalitis

2020

Transportmetrica A: Transport Science

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Stop-skipping (also known as expressing) is a typical control strategy in public transit operations with a dual objective: (i) reduce the trip delays and (ii) improve the travel times of on-board passengers. Dynamic stop-skipping approaches decide about the stopskipping strategy of each bus trip in isolation, neglecting the effect of the skipped stops on future trips. To rectify this, we introduce a rolling horizon stop-skipping model that determines the stopskipping strategies of several trips within a rolling horizon. Then, we model the rolling horizon stop-skipping problem as an integer nonlinear program, and we prove that it is (at least) an NP-complete decision problem which can be solved to global optimality for smallscale scenarios. Simulation-based tests using real data from bus line 15L in Denver demonstrate a potential performance improvement of 13% when using our rolling horizon stop-skipping approach in the presence of travel time uncertainty.

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Section: Stop-skipping At the Tactical Planning Levelmentioning

confidence: 99%

Stop-skipping in rolling horizons

Gkiotsalitis

2020

Transportmetrica A: Transport Science

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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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“…e model aims to minimize passenger waiting time and maximize bus capacity utilization while taking into account the constraints due to bus capacity and the number of available buses, as well as ensuring that the service does not exceed the maximum anticipated headway. e study in [11] introduced a robust optimization model for limited-stop bus service with vehicle overtaking and demand dynamics, with an objective to minimize user cost and operation cost. A simulation-based optimization framework integrating the response surface methodology, which only needs to fit an initial input-output dataset before solving to optimality, is used to solve the stopskipping optimization problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Design, Validation, and Comparative Analysis of a Private Bus Location Tracking Information System

Al‐Hawari

Al-Sammarraie

Al-Khaffaf

2020

Journal of Advanced Transportation

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This paper addresses various aspects related to the design, development, and validation of a web-based information system that is intended to facilitate the management of a bus transportation service offered by a Jordanian university to its staff and students. Passengers can use this system to track bus trips to find out how far a desired bus is from a specific location. Also, they can know about arrivals and departures of buses managed using this system. Specifically, this work explores UI design, data structures, database design, system architecture, and development methods to realize the required features (e.g., user roles, bus setup, driver assignment, bus routes, bus schedules, and trip monitoring) in the proposed bus location tracking system. It also suggests using the free open-source API, rather than the proprietary Google Maps API, to develop the interactive maps. The system also records trip information and solicits passenger feedback to allow reviewing and analyzing that data to enhance the quality of service, reduce operation cost, and improve passenger satisfaction. The conducted comparative analysis results illustrate that the open-source API is accurate, fast, and responsive similar to the proprietary API. Furthermore, the user survey output confirms that the deployed system is easy to use, helpful, fast, responsive, and accurate.

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Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology

Cited by 90 publications

References 40 publications

Stop-skipping in rolling horizons

Stop-skipping in rolling horizons

Fleet Scheduling Optimization of Hazardous Materials Transportation: A Literature Review

Design, Validation, and Comparative Analysis of a Private Bus Location Tracking Information System

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