Schedule-based transit assignment model with vehicle capacity and seat availability

Hamdouch, Younes; Ho, H.W.; Sumalee, Agachai; Wang, Guodong

doi:10.1016/j.trb.2011.07.010

Cited by 109 publications

(59 citation statements)

References 20 publications

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“…Some authors [15][16][17][18] have used the diachronic graph because it has the advantage of being inherently dynamic, in the sense that travel times and passenger flows on transit lines are always referred to a specific run, and thus to a certain time of the day. Moreover, this method has the additional benefit that the dynamic equilibrium reduces to a static assignment on the time-expanded network since the time dimension is explicitly reproduced by the graph topology.…”

Section: Background Research On Transit Congestionmentioning

confidence: 99%

“…A schedule-based approach has also been used [17,18,24] to represent the behaviour of passengers that choose a ranked set of runs (that make up an ordered set of "back-up travel plans") and know that, at each intermediate stop, they may not be able to board the best option, or that they may not be able to sit, because of capacity constraints. Thus, in this case the concept of hyperpath is applied to a different scenario: passengers know and trust the service timetable (this is one of the basic assumptions of schedule-based models) and can precisely select their best travel option; however, it is uncertain if they will be able to board/sit when congestion occurs.…”

Section: Background Research On Transit Congestionmentioning

confidence: 99%

“…Thus, if the generalised arc cost functions (18), (19) are consolidated as in equation (32), then exit times, arc costs and diversion probabilities, which represent the supply, are expressed as in (33)…”

Section: Formulation Of the Dynamic User Equilibrium As A Fixed-pointmentioning

confidence: 99%

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Dynamic user equilibrium in public transport networks with passenger congestion and hyperpaths

Trozzi

Gentile

Bell

et al. 2013

Transportation Research Part B: Methodological

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractThis paper presents a Dynamic User Equilibrium for bus networks where recurrent overcrowding results in queues at stops. The route choice model embedded in the dynamic assignment explicitly considers common lines and strategies with alternative routes. As such, the shortest hyperpath problem is extended to a dynamic scenario with capacity constraints where the diversion probabilities depend on the time the stop is reached and on the expected congestion level at that time. In order to reproduce congestion for all the lines sharing a stop, the Bottleneck Queue model with time-varying exit capacity, introduced in Meschini et al. (2007), is extended. The above is applied to separate queues for each line in order to satisfy the First-In-First-Out principle within every attractive set, while allowing overtaking among passengers having different attractive sets but queuing single file.

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Section: Background Research On Transit Congestionmentioning

confidence: 99%

Section: Background Research On Transit Congestionmentioning

confidence: 99%

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Dynamic user equilibrium in public transport networks with passenger congestion and hyperpaths

Trozzi

Gentile

Bell

et al. 2013

Transportation Research Part B: Methodological

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“…Bus service procedure plays a vital role in transit network design (Szeto et al 2011;Wu et al 2015;Yan et al 2013) and transit assignment analysis (Hamdouch et al 2011;Leurent et al 2014). Thus, bus service time estimation is essential for bus operators and public transport planners (Ceder 2007;Li et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Modeling Bus Dwell Time and Time Lost Serving Stop in China

Wang¹,

Ye²,

Wang³

et al. 2016

JPT

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“…Indeed, the first papers to consider that satisfying travel demand (i.e. passenger) requirements is the main purpose of a rail/metro system were [17], [18] and [19]. In this context, [20] and [21] proposed a trade-off between rail system performance and passenger quality of service.…”

Section: Introductionmentioning

confidence: 99%

The use of microsimulation models for the planning and management of metro systems

Placido¹,

D’Acierno²,

Montella³

2014

WIT Transactions on the Built Environment

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The management of public transport for rebalancing the use of transportation systems is a useful tool for reducing negative externalities without excessively affecting zone accessibility. In this context, a rail or metro system can be a key element for producing a high-quality supply of public transport. Obviously, due to the great vulnerability of rail technology to system failures, it is necessary to develop suitable tools to identify rapidly, even with off-line procedures, the best operational strategies which minimise user discomfort produced by such failures. Hence, our proposal is to extend previous models proposed in the literature by considering travel demand as an outcome of a random variable and not only in terms of average values. The proposed approach is applied in the case of a real dimension metro network, considering a wider class of failure contexts.

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Schedule-based transit assignment model with vehicle capacity and seat availability

Cited by 109 publications

References 20 publications

Dynamic user equilibrium in public transport networks with passenger congestion and hyperpaths

Dynamic user equilibrium in public transport networks with passenger congestion and hyperpaths

Modeling Bus Dwell Time and Time Lost Serving Stop in China

The use of microsimulation models for the planning and management of metro systems

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