Multiline Bus Bunching Control via Vehicle Substitution

Petit, Antoine; Lei, Chuanhu; Ouyang, Yanfeng

doi:10.1016/j.trb.2019.05.009

Cited by 34 publications

(17 citation statements)

References 22 publications

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“…Antoine et al studied substitution strategy in the context of multiple bus lines under either time-independent or time varying settings. They modeled the agency's substitution decisions and retired bus repositioning decisions as a stochastic dynamic program so as to obtain the optimal policy that minimizing the systemwide costs [19].…”

Section: ) Bus Scheduling Methods Under the Impact Of Route Overlapmentioning

confidence: 99%

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Bus Scheduling of Overlapping Routes With Multi-Vehicle Types Based on Passenger OD Data

2020

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To mitigate the problems caused by bus route overlap in the transit network, this paper proposes a new scheduling method with both large and small vehicle types based on passenger OD (Origin-Destination) data. The minimum of total cost of passenger travel time and bus company operation is taken as the optimization objective, departure intervals and vehicle types are taken as the optimization variables. The impact of route overlap on passenger travel time is analyzed. A heuristic algorithm is developed to solve the optimization model to produce the departure time and vehicle type for each bus trip. Finally, three real bus routes in Harbin city are taken as an example to validate the proposed model using peak-hour data. Compared with the model without considering route overlap, the proposed model can reduce total passenger travel time and cost by 5.2% and 8.8% respectively. INDEX TERMS Bus route overlap, scheduling method, vehicle types, optimization model. I. INTRODUCTION A. BACKGROUND

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Section: ) Bus Scheduling Methods Under the Impact Of Route Overlapmentioning

confidence: 99%

“…The departure time of bus k at stop i on route l is determined by its departure time at the previous stop, inner-stop travel time, acceleration time, deceleration time and dwell time, which can be described by (19).…”

Section: ) Passenger In-vehicle Travel Time Cost A: In-vehicle Travementioning

confidence: 99%

Bus Scheduling of Overlapping Routes With Multi-Vehicle Types Based on Passenger OD Data

2020

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“…In Petit et al. ( 2019 ) a bus substitution strategy is investigated where standby buses are dispatched to enhance system reliability. This may be meaningful especially in case of multiple lines.…”

Section: Problem Settingsmentioning

confidence: 99%

Robustness and disturbances in public transport

Voß

Xie

2022

Public Transp

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Network-based systems are at the core of our everyday life. Whether it is electronic networking, electricity grids or transportation, users expect the networks to function properly and provide a feeling of safety and security. However, there may be disturbances. In this paper, we consider disturbances in the context of public transportation. The focus in this respect is on public transport planning and operations. To classify and cope with disturbances, one can find many ideas, including robustness, resilience, vulnerability, disruption mitigation or delay management. We survey related streams of literature and put them into perspective. As a major insight we show that different strands of literature exist that may benefit from becoming better connected and intertwined. Together with recent advances in information technology and solution methods, more integrated problem settings incorporating robustness and disturbances can play a major role in future planning and operations.

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“…Meanwhile, there is a series of design of stop operational strategies contributing to bus reliability [17], [18]. Petit et al propose a dynamic bus substitution strategy to VOLUME XX, 2017 1 improve the service reliability [19]. Under the dynamic strategy, if the bus arrives early or late, it will be replaced by a spare bus.…”

Section: Introductionmentioning

confidence: 99%

Pre-Control Strategies for Downstream Bus Service Reliability With Traffic Signal

et al. 2020

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As an undesired behavior of the transport system, headway fluctuation or even bus bunching reduce reliability of bus stop service for waiting passengers. This paper proposes a pre-control method to improve the balance of service intervals at downstream stop through an adjustment of green time for bus passing, in which priority and delay of bus passing can be achieved. The proposed pre-control strategies at intersection are triggered based on prediction of service intervals at downstream stop to select priority or delay strategy that includes adjusting starting and ending time of green light. Meanwhile, the influence of adjustment of green time on surrounding traffic delay of vehicle is also considered. The traffic delay is estimated for vehicles arriving during phases within associated two signal cycles induced by the signal adjustment. To derive optimal adjustment of green time, a multi-objective function is established and the objectives include deviation of the bus service intervals and traffic average delay. An exhaustive search algorithm is programmed to solve the objective function. The effects of control strategies are tested by numerical experiments based upon a real bus route in Changchun. Results show that the bus service reliability can be improved through a proper signal pre-control and, compared with the single control strategy with only bus delay, the standard deviations of service intervals with the average running time and the stochastic running time are improved by 8.53% and 7.31%, respectively.

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Multiline Bus Bunching Control via Vehicle Substitution

Cited by 34 publications

References 22 publications

Bus Scheduling of Overlapping Routes With Multi-Vehicle Types Based on Passenger OD Data

Bus Scheduling of Overlapping Routes With Multi-Vehicle Types Based on Passenger OD Data

Robustness and disturbances in public transport

Pre-Control Strategies for Downstream Bus Service Reliability With Traffic Signal

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