Waiting time and the role and value of information in scheduled transport

Reducing energy consumption and promoting sustainable mobility solutions, including public transport (PT), are increasingly becoming key objectives for policymakers worldwide. Energy saving dispatching optimization for bus rapid transit (BRT) is one of the most efficient strategies for reducing traffic congestion and energy conservation. The purpose of this paper is to address the BRT dispatching problem while taking into account the association between the vehicle type, the waiting time of passengers and the energy consumption of vehicles. This paper presents a mechanical model to describe the level of energy used in different vehicles based on engine universal characteristics considering the characteristics of the vehicle, engine, road, and driving type. The load factor and the passenger average waiting time are used to estimate the quality of service. Furthermore, in order to determine the vehicle scheduling scheme, a multi-objective energy saving dispatching optimization model of BRT is developed aiming to minimize the waiting time of passengers and energy consumption of vehicles. Moreover, a two-phase algorithm is employed in order to solve this multi-objective model. The results show that the designed algorithm is valid for solving the dispatching optimization model of BRT, and the energy consumption and passenger waiting time can be reduced by using an appropriate dispatching scheme. INDEX TERMS BRT dispatching, energy consumption, multiple types of vehicles, multi-objective, niched genetic algorithm.

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“…As shown in Larsen and Sunde [36] the expected waiting time for randomly arriving passengers can be calculated as follows:…”

Section: ) Total Waiting Time Of Passengersmentioning

confidence: 99%

A Multi-Objective Bus Rapid Transit Energy Saving Dispatching Optimization Considering Multiple Types of Vehicles

Yang

Liu

2020

IEEE Access

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“…In the transfer time from rail transit to bus, the walking time to the bus stop ὔ is measured using the method in Section 4.1.1. However, the waiting time at the bus stop ὔ w is half of the average departure interval of conventional bus lines, referring to existing research [25]. In terms of travel cost, when choosing rail transit, there will be a transfer in the conventional bus itself, which requires increasing the fare of the conventional bus.…”

Section: Generalized Travel Time Costsmentioning

confidence: 99%

Study on the Selection Model of Staying Adjustment Bus Lines along Rail Transit

Cui

Gao

Cheng

et al. 2020

Journal of Advanced Transportation

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To fully achieve effective rail transit, prevent the waste of conventional bus capacity along a rail transit line, and relieve the urban traffic congestion problem, it is necessary to screen for the adjustment of conventional bus lines prior to the operation of rail transit to provide a basis for further optimization of bus lines. Based on the analysis of spatial relationships between a rail transit line and conventional collinear bus lines and considering the time advantage characteristics of rail transit in rush hours, a model of the generalized travel time costs and travel time savings proportion in the collinear section of rail transit and bus was proposed. To evaluate the utility of rail transit relative to conventional bus collinear lines, the conventional bus lines to be adjusted were determined. Taking Xiamen as an example, the bus lines of Hubin East Road Station as the endpoint of metro line 1 were employed to calculate the model using GPS data of the buses, and the bus lines to be adjusted in the Hubin East Road were determined. The results show that the model is effective in the elastic selection of conventional bus lines that need to be adjusted and provides decision-making support for urban comprehensive public transport planning.

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“…Passenger boarding choice behaviour in a bus network under the real-time information has also been studied by scholars since the late 1990s (Hickman and Wilson 1995;Gentile, Nguyen, and Pallottino 2005;Jansson, Lang, and Mattsson 2008;Larsen and Sunde 2008;Jariyasunant, Mai, and Sengupta 2011;Fonzone and Schmoecker 2014). Hickman and Wilson (1995) presented that the provision of the real-time information could only slightly reduce the total travel time.…”

Section: Introductionmentioning

confidence: 99%

Passenger boarding choice prediction at a bus hub with real-time information

Kong

et al. 2015

Transportmetrica B: Transport Dynamics

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Providing real-time bus information (e.g. current situation of an arriving bus) to passengers is becoming increasingly possible with the development of transportation information technology, such as intelligent transport systems. When multiple routes can reach a given destination, real-time information could be an important reference for passengers' decisionmaking regarding which bus to board. This paper presents a method for predicting passengers' boarding choice behaviours on common bus lines at a bus hub with real-time information. To account for the uncertainty in the decision-making process, cloud model theory, which is based on fuzzy sets, was adopted. Data from a bus hub in Dalian city of China are also presented to illustrate the applicability and effectiveness of the proposed method. The results show that providing real-time information could lead to a deviation from passengers' typical choices that are made without real-time information. The proposed model effectively predicts passenger's boarding choices and could be used to improve bus-dispatching models in the future.

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Waiting time and the role and value of information in scheduled transport

Cited by 24 publications

References 14 publications

A Multi-Objective Bus Rapid Transit Energy Saving Dispatching Optimization Considering Multiple Types of Vehicles

A Multi-Objective Bus Rapid Transit Energy Saving Dispatching Optimization Considering Multiple Types of Vehicles

Study on the Selection Model of Staying Adjustment Bus Lines along Rail Transit

Passenger boarding choice prediction at a bus hub with real-time information

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