Public Transport Line Assignment Model to Dual-Berth Bus Stops

Alonso, Borja; Moura, José Luis; Ibeas, Ángel; Ruisánchez, Francisco José

doi:10.1061/(asce)te.1943-5436.0000260

Cited by 11 publications

(5 citation statements)

References 14 publications

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“…e passenger flow data were collected during the peak hours of a working day (Table 5). e calculation result of the SDWA was obtained from equation (6).…”

Section: Field Validationmentioning

confidence: 99%

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Expression and Validation of Online Bus Headways considering Passenger Crowding

Yan

Zhou

Zhao³

2021

Journal of Advanced Transportation

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Passenger crowding in a city bus is uneven and the most crowded area always appears in the wheelbase of the carriage. The present study aimed to provide a sensitive indicator of the most crowded area to schedule bus headways online using a binocular camera sensor. The algorithm of standee density in the wheelbase area (SDWA) was given by a nonlinear regression model considering standees’ preferences for the standing area, and its goodness of fit and continuity were tested. Considering the characteristics of city bus operation, the proportion of the number of interstops determined from the SDWA was used as a judgment index for passenger crowding. Based on the SDWA algorithm and the judgment index, an online headway model of city buses was proposed, and the feasibility of such a model was verified through a case study in Xi’an city. The proposed model might be beneficial to bus scheduling, seating provision, and bus design.

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“…e passenger flow data were collected during the peak hours of a working day (Table 5). e calculation result of the SDWA was obtained from equation (6).…”

Section: Field Validationmentioning

confidence: 99%

“…In the bus scheduling station, the dispatchers are unable to obtain information on the realtime passenger flow. As a consequence, many problems arise, such as personal judgment subjectivity in attendance and the headway not being rational to the bus line [5,6]. erefore, overcrowding of passengers often occurs.…”

Section: Introductionmentioning

confidence: 99%

Expression and Validation of Online Bus Headways considering Passenger Crowding

Yan

Zhou

Zhao³

2021

Journal of Advanced Transportation

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“…Alonso et al . considered to assign bus lines to the two separated/divided berths to reduce bus bunching. In their design, we can neglect the interactions between buses stopped at different berth because they are far away apart.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, Alonso et al . considered transferring times between two berths. While, in our model, the transferring times of users are almost zero and are thus omitted.…”

Section: Introductionmentioning

confidence: 99%

Berth assignment planning for multi‐line bus stops

Tan

Zhang

et al. 2013

J of Advced Transportation

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In this paper, we study an important problem that arises with the fast development of public transportation systems: when a large number of bus lines share the same bus stop, a long queue of buses often forms when they wait to get into the stop in rush hours. This causes a significant increase of bus delay and a notable drop of traffic capacity near the bus stop. Various measures had been proposed to relieve the congestions near bus stops. However, all of them require considerable financial budgets and construction time costs. In this paper, with the concept of berth assignment redesign, a simulation-based heuristic algorithm is proposed to make full use of exiting bus berths. In this study, a trustable simulation platform is designed, and the major influencing factors for bus stop operations are considered. The concept of risk control is also introduced to better evaluate the performance of different berth arrangement plans and makes an appropriate trade-off between the system's efficiency and stability. Finally, a heuristic algorithm is proposed to find a sub-optimal berth assignment plan. Tests on a typical bus stop show that this algorithm is efficient and fast. The sub-optimal berth assignment plan obtained by this algorithm could make remarkable improvements to an actual bus stop.To relieve the congestions near bus stops, various measures had been proposed [25,24,48,26,6]. The first approach is to build more bus stops and distribute the passengers and buses over all these bus stops. As a result, how to optimize the spacing between these bus stops had received continuous attention during the last 30 years [51,23,41,28,36,40,13,32,46]. The second approach is to redesign the geometrical layout of a bus stop to increase its capacity. For example, an indented parking bay is often built to make better use of the space. The third approach is to maintain appropriate headways between buses and reduce the chance that two buses arrive at the bus stops simultaneously and thus reduce delay of waiting [2,11,12,14,21,54,44,9,8]. These approaches are capable of significantly reducing bus bunching and the resulting time delay. However, they all require considerable financial budgets and construction time costs.Alonso et al.[1] considered to assign bus lines to the two separated/divided berths to reduce bus bunching. In their design, we can neglect the interactions between buses stopped at different berth because they are far away apart. However, in our study, we assume the berths are tightly aligned because of multiple reasons, for example, building costs and road geometry constraints. So, one bus staying in the upstream may block the entrance of another bus that aims to enter the downstream berth. As a result, Alonso et al.[1] considered transferring times between two berths. While, in our model, the transferring times of users are almost zero and are thus omitted.In [25], the authors suggested that buses must stop in the first available berth closest to the exit of the stop area. However, this strategy will often make the...

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“…Borja Alonso et al (2008), in their paper "Public transport line assignment model to dual berth bus stops", a methodology has been proposed to assign bus lines to divided stops, which minimises the costs to the user and takes into account the interaction with private traffic and congestion on the public transport system. Xiao-mei Zhao et al(2014), in their paper "The capacity drop caused by the combined effect of the intersection and the bus stop in a CA model", The combined effect of the signal-controlled intersection and the near-by bus stop is studied by using a two lane CA model.…”

Section: Reebu Zachariah Koshy (2005) On His Paper "Influence Of Bus mentioning

confidence: 99%

Effect of Location and Bay Length on Performance of Bus Bays – Case Study on Trivandrum City

Cheriankunju¹

2018

IJERT

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-Constraints to roadway capacity and congestion are at the forefront of issues which are faced by transportation professionals. These challenges along with budgetary restraints require thoughtful and innovative use of current facilities to maximize capacity. The thesis is about finding an optimum location of the bus bay which is at the downstream of a signalised intersection. Optimum location is selected by the position which minimises the queuing and disturbance to the adjacent lanes. Trivandrum city has synchronised signal systems. Since all the public transport buses follow the same route, same buses will be queued at all the intersections. Bus bay type of bus stop is constructed and separated from travel lanes and off normal section of a roadway that provides for the pickup and discharge of passengers. This design is meant to allow through traffic to flow freely without the obstruction of stopped buses. The existing bus bays do not have the facility to hold all the buses that are queued up. They interfere with the passing vehicles primarily while buses maneuverer to pull into and out of the bus bays. The queue length of the buses at the bus bay and the travel time of vehicles at the adjacent lanes are measured. Modelling is done using VISSIM software.

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Public Transport Line Assignment Model to Dual-Berth Bus Stops

Cited by 11 publications

References 14 publications

Expression and Validation of Online Bus Headways considering Passenger Crowding

Expression and Validation of Online Bus Headways considering Passenger Crowding

Berth assignment planning for multi‐line bus stops

Effect of Location and Bay Length on Performance of Bus Bays – Case Study on Trivandrum City

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