A quasi-dynamic capacity constrained frequency-based transit assignment model

Schmöcker, Jan-Dirk; Bell, M.G.; Kurauchi, Fumitaka

doi:10.1016/j.trb.2008.02.001

Cited by 101 publications

(62 citation statements)

References 9 publications

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“…This implies that no priority is satisfied in the waiting process, and, in case of oversaturation, all passengers have the same probability to board the next arriving carrier, provided it is attractive. Under this hypothesis, a possible simple solution would consider the effective frequency [7], namely the line frequency perceived by waiting passengers, which decreases as the probability of not boarding its first arriving carrier increases, or the fail to board probability [10].…”

Section: Background Research On Transit Congestionmentioning

confidence: 99%

“…In the context of strategy-based assignment, passenger congestion has increasingly received attention in the literature [7][8][9][10] because recurrent queuing and overcrowding have developed into a major problem affecting high-frequency transit systems of large cities. For example, during peak-hours passengers often experience an over-saturation waiting time at stops, because they are not able to board the first vehicle of their choice set that arrives.…”

Section: Introductionmentioning

confidence: 99%

“…While strategy-based transit assignment with capacity constraints has been treated in a static framework [7][8][9]11], only few dynamic models exist [10]. Moreover, previous work has dealt with capacity constraints in FB transit assignment with hyperpaths, either assuming that the extra waiting may affect the users' perception of service frequency, or that crowding may increase the perceived cost of travelling through the fail-to-board probability.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, previous work has dealt with capacity constraints in FB transit assignment with hyperpaths, either assuming that the extra waiting may affect the users' perception of service frequency, or that crowding may increase the perceived cost of travelling through the fail-to-board probability. The first method, formally known as effective frequency, has been developed only in a static framework, either considering the "practical capacity" of the transit lines [7] or strict capacity constrains [8,9]; on the other hand the method of fail-to-board probability [10,11] has been developed also in a dynamic framework. All the afore-mentioned methods assume that queuing takes the form of passengers mingling at the stop, without respecting any boarding priority.…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Trozzi

Gentile

Bell

et al. 2013

Transportation Research Part B: Methodological

Self Cite

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“…and their values are shown in Marcotte and Nguyen 1998, Cominetti and Correa 2001, Kurauchi et al 2003, Cepeda et al 2006, Schmöcker et al 2008, Leurent and Benezech 2011. This behavioural assumption implies that no waiting priority is respected and, in case of oversaturation, all passengers waiting at a stop have the same probability to board the next carrier to approach (provided the carrier is attractive).…”

Section: Background Researchmentioning

confidence: 99%

A dynamic route choice model for public transport networks with boarding queues

Trozzi

Kaparias

Bell

et al. 2013

Transportation Planning and Technology

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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:http://openaccess.city.ac.uk/6527/ Link to published version: http://dx.doi.org/10. 1080/03081060.2012.745720 Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs from City Research Online may be freely distributed and linked to. City Research Online: http://openaccess.city.ac.uk/ publications@city.ac.uk City Research OnlineA dynamic route choice model for public transport networks with boarding queuesThe concepts of optimal strategy and hyperpath were born within the framework of static frequency-based public transport assignment, where it is assumed that travel times and frequencies do not change over time and no overcrowding occurs. However, the formation of queues at public transport stops can prevent passengers from boarding the first vehicle approaching and can thus lead to additional delays in their trip. Assuming that passengers know from previous experience that for certain stops/lines they will have to wait for the arrival of the 2nd, 3rd, ..., k -th vehicle, they may alter their route choices, thus resulting in a different assignment of flows across the network. The aim of this paper is to investigate route choice behaviour changes as a result of the formation and dispersion of queues at stops within the framework of optimal travel strategies. A new model is developed, based on modifications of existing algorithms. IntroductionIt has been largely acknowledged in the last decades that urban sustainable development needs to overcome the dependence on the private car (Newman and Kenworthy 1999, European Commission 2009) and requires a modal shift towards public transport, as this leads to better performance over private transport with regards to the six sub-objectives for sustainability (May 2001 cited Black et al. 2002.In the context of promoting a transfer of passenger mobility from individual to collective means, it is important to improve the quality of service provided (i.e. total travel time reduction, increased service regularity, increased comfort on board). When this scope cannot be pursued by building more suitable infrastructure, which can be politically, financially, and environmentally constrained, Advanced Traveller Information Systems (ATIS) could play a major role if they were able to provide travellers with accurate route guidance which can consider updated and useful information about network conditions. At the present time this is not the case, as journey planners do not currently consider bus travel time which may vary with the time of the day due to recurrent road congestion. The current journey planners also do not take into account queuing time at stops and stations due to passenger congestion on the transit network. From an assignment perspective, this may lead to passenge...

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A multi‐class transit assignment model for estimating transit passenger flows—a case study of Beijing subway network

Liu

et al. 2015

J of Advced Transportation

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This paper describes a case study comparing a multi-class transit assignment model with its single class counterpart for estimating the passenger flows of the Beijing subway network-one of the largest railway transit networks in the world. Multi-class traffic assignment has been widely considered as a theoretically sound approach to capture the inherent variation in users' route choice behavior. However, few empirical studies have been devoted to showing the effectiveness of this approach in improving the accuracy of the underlying passenger flow estimation process. In this research, a passenger classification scheme is proposed on the basis of a dataset from a large stated preference survey conducted in the City of Beijing, China. Separate generalized cost functions are calibrated for different classes of subway users in Beijing and applied in a multi-class transit assignment model for estimating passenger flows over a subway network. The case study has shown that the proposed multi-class approach resulted in significantly improved estimation results with an average estimation error of less than 15% on the transfer flows as compared with 30% for the single class model. Figure 3. Comparison of observed and estimated transfer flows by different methods.Figure 4. The mean absolute relative percentage error (MAPE) of estimated transfer flows at different stations.

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A quasi-dynamic capacity constrained frequency-based transit assignment model

Cited by 101 publications

References 9 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

A dynamic route choice model for public transport networks with boarding queues

A multi‐class transit assignment model for estimating transit passenger flows—a case study of Beijing subway network

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