Bus scheduling considering trip‐varying travel times, vehicle availability and capacity

Gkiotsalitis, Konstantinos

doi:10.1049/iet-its.2019.0725

Cited by 4 publications

(3 citation statements)

References 56 publications

(79 reference statements)

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“…During the actual process, when sudden interruption (i.e. lasting for over 30 min [19]) occurs in the metro, emergency bridging bus transit can be activated; when the metro stations in both directions, the subway operation department often use return stations, located at the intersection of two different train densities that allow trains to turn back [20], to maintain the travel of passengers in normal operating section and use bridging bus to ensure the travel of passengers in interrupted section. Therefore, it is necessary to decide whether to activate emergency bridging buses based on the circumstances of sudden interruption and determine the most appropriate activation moment.…”

Section: Problem Descriptionmentioning

confidence: 99%

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Flexible optimal bus‐schedule bridging for metro operation‐interruption

Lai,

Liang,

Rao

et al. 2024

IET Intelligent Trans Sys

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Under the sudden interruption of the metro, it is significant to dispatch emergency bridging buses to evacuate stranded passengers to improve linkage management and service reliability. Aiming at the problem of emergency bridging bus scheduling, considering the remaining capacity of conventional buses, passenger tolerance, and site convenience, a flexible combined emergency bridging bus scheduling model is constructed based on the constraints of vehicle capacity, dispatching capacity, and maximum evacuation times of emergency bridging bus, aiming at minimizing the maximum evacuation time and passenger delay. The improved Harris hawk algorithm is used to solve the model, and the evacuation plan of the demand‐responsive and station‐station bridging lines is obtained. The maximum evacuation time is 41 min, and the average delay of stranded passengers is 19 min. The results show that the maximum evacuation time is 10% and 27% less than the fixed combined and single scheduling. The average delay is 16% and 42% less than the fixed combination and traditional single scheduling. The sensitivity analysis of the influencing factors of emergency bridging bus scheduling is conducted. The results show that the flexible combined emergency bridging bus scheduling model constructed in this paper can improve evacuation efficiency and reduce passenger travel delays.

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Section: Problem Descriptionmentioning

confidence: 99%

“…Constraints (20) and ( 21) respectively ensure that each emergency feeder bus evacuation time cannot exceed the maximum bridging time and the headway for station-station lines during transportation needs to be between a minimum and a maximum.…”

Section: Time Constraintsmentioning

confidence: 99%

Flexible optimal bus‐schedule bridging for metro operation‐interruption

Lai,

Liang,

Rao

et al. 2024

IET Intelligent Trans Sys

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“…ere are many contributions on the travel time distribution and its application, and for each road type or data collection accuracy, there might be various distribution results, especially in the bus or transit scheduling, and the basic relationship between bus time head way and travel time is the main factor to optimize the public transport system-based online data [24,25]. Based on the basic relationship, the mechanism or the relationship between LTT and operation condition seems to be extended and discussed under the traffic system.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data

et al. 2021

Journal of Advanced Transportation

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In this paper, the calculation method of the link travel time is firstly analysed in the continuous traffic flow by using the detection data collected when vehicles pass through urban links, and a theoretical derivation formula for estimating link travel time is proposed by considering the typical vehicle travel time and the time headway deviation upstream and downstream of the links as the main parameters. A typical vehicle analysis method based on link travel time similarity is proposed, and the theoretical formula is optimized, respectively. Then, an estimation formula based on maximum travel time similarity and an estimation formula based on maximum travel time confidence interval similarity are proposed, respectively. Finally, when analysing the fitting conditions, the collected data from urban roads in Nanjing are used to verify the proposed travel time estimation method based on the radio frequency identification devices. The results show that time headway deviation converges to zero when the hourly vehicle volume is more than 20 veh/h in the certain flow direction, and there are more positive and negative fluctuations when the hourly vehicle volume is less than 10 veh/h in the certain flow direction. The accuracy of the proposed improved method based on typical vehicle travel time estimation is significantly improved by considering the typical vehicle travel time, and typical vehicles on the road segment mainly exist at the tail of the traffic platoon in the corresponding period.

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