scholarly journals Dynamic Extra Buses Scheduling Strategy in Public Transport

2015 ◽  
Vol 27 (3) ◽  
pp. 205-216 ◽  
Author(s):  
Bin Yu ◽  
Keming Wang ◽  
Zixuan Peng ◽  
Can Wang ◽  
Ziyou Gao ◽  
...  
Keyword(s):  
Waiting Time ◽  
Heuristic Algorithm ◽  
Public Transport ◽  
Real Life ◽  
Service Reliability ◽  
Transit Service ◽  
Scheduling Strategy ◽  
Dalian City ◽  
Transit Route ◽  
Transit Routes

This paper presents a dynamic extra buses scheduling strategy to improve the transit service of transit routes. In this strategy, in order to decide when to dispatch an extra bus, the service reliability of transit route is assessed firstly. A model aimed at maximizing the benefit of the extra buses scheduling strategy is constructed to determine how many stops extra buses need to skip from the terminal to accommodate passengers at the following stops. A heuristic algorithm is defined and implemented to estimate the service reliability of transit route and to optimize the initial stop of extra buses scheduling strategy. Finally, the strategy is tested on two examples: a simple and a real-life transit route in the Dalian city in China. The results show that the extra buses scheduling strategy based on terminal stops with a reasonable threshold can save 8.01% waiting time of passengers.

Real-Time Public Transport Operations: Library of Control Strategies

2017 ◽  
Vol 2647 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Mahmood Mahmoodi Nesheli ◽  
Avishai (Avi) Ceder
Keyword(s):  
Real Time ◽  
Public Transport ◽  
Large Scale ◽  
Real Life ◽  
Small Scale ◽  
Control Procedure ◽  
Service Reliability ◽  
Real Time Control ◽  
Time Control ◽  
Control Actions

Modern public transport (PT) operations have evolved into a complex multimodal system in which small-scale disorder can propagate. Large-scale disruptions to passengers and PT agencies result. Various studies have been developed to model PT control at the operational level; however, the main downside of possible real-time control actions is the lack of intelligent modeling and a systematic process that can activate such actions immediately. This study presents a real-time control procedure to increase service reliability and to improve successful coordinated transfers in a complex PT system. The developed method aims at minimizing total travel time for passengers and reducing the uncertainty of meetings between PT vehicles. A library of operational tactics is first built to serve as a basis of the real-time decision-making process. The methodology developed is applied to a real-life case study in Auckland, New Zealand. The results showed improvements in system performance and confirmed the use of real-time control actions to maintain reliable PT service.

scholarly journals Motivating Public Transport Use: Travel Behaviour and Integrated Ticketing for Greater Wellington

2021 ◽  
Author(s):  
◽  
Camilla Morley
Keyword(s):  
Public Transport ◽  
Travel Behaviour ◽  
Environmental Problems ◽  
Integrated Modelling ◽  
Transport Systems ◽  
Service Reliability ◽  
Psychological Constructs ◽  
Car Use ◽  
Transport Behaviour ◽  
Stakeholder Communication

<p>Car use is engrained in our culture. Changing behaviour towards using more sustainable travel modes such as public transport is notoriously difficult, despite the increasing awareness of environmental problems caused by car use. Integrated ticketing is a policy measure more recently used in strategies towards achieving integrated and sustainable transport systems. It allows a passenger to travel with one public transport ticket throughout a region. This research uses a mixed method approach to assess how integrated ticketing may affect public transport use in Greater Wellington. The psychological constructs determining decisions to use public transport are tested using an integrated environmental behaviour model proposed by Bamberg and Möser (2007). The results support the integrated modelling approach. Intentions to use public transport are indirectly affected by awareness of environmental problems caused by car use mediated through social norms, guilt, perceived behavioural control and attitude. The intention to use public transport explains 56% of the variance in public transport behaviour. Integrated ticketing presents an opportunity to increase the ease and convenience of travel, shown to be important in the model. The majority of survey respondents perceived that they would use integrated ticketing in Greater Wellington and that it was important both on a regional and national scale. Achieving an effective integrated ticketing system in Greater Wellington will be conditional on firstly improving public transport service reliability and stakeholder communication. Integrating fares across the region and across modes will also be crucial to the success of the system.</p>

A solution method for treatment scheduling in rehabilitation hospitals with real-life requirements

2018 ◽  
Vol 30 (4) ◽  
pp. 367-386 ◽  
Author(s):  
Liyang Xiao ◽  
Mahjoub Dridi ◽  
Amir Hajjam El Hassani ◽  
Wanlong Lin ◽  
Hongying Fei
Keyword(s):  
Waiting Time ◽  
Programming Model ◽  
Search Algorithm ◽  
Real Life ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Mixed Integer ◽  
Solution Quality ◽  
Improved Cuckoo Search Algorithm ◽  
Rehabilitation Hospitals

Abstract In this study, we aim to minimize the total waiting time between successive treatments for inpatients in rehabilitation hospitals (departments) during a working day. Firstly, the daily treatment scheduling problem is formulated as a mixed-integer linear programming model, taking into consideration real-life requirements, and is solved by Gurobi, a commercial solver. Then, an improved cuckoo search algorithm is developed to obtain good quality solutions quickly for large-sized problems. Our methods are demonstrated with data collected from a medium-sized rehabilitation hospital in China. The numerical results indicate that the improved cuckoo search algorithm outperforms the real schedules applied in the targeted hospital with regard to the total waiting time of inpatients. Gurobi can construct schedules without waits for all the tested dataset though its efficiency is quite low. Three sets of numerical experiments are executed to compare the improved cuckoo search algorithm with Gurobi in terms of solution quality, effectiveness and capability to solve large instances.

Modelling Urban Public Transit Users' Route Choice Behaviour

2011 ◽  
pp. 134-146
Author(s):  
Yulin Lee ◽  
Jonathan Bunker ◽  
Luis Ferreira
Keyword(s):  
Public Transport ◽  
Public Transit ◽  
Route Choice ◽  
User Equilibrium ◽  
Urban Transport ◽  
Transit Assignment ◽  
The Road ◽  
Transit Route ◽  
The 1960S ◽  
Assignment Models

Public transport is one of the key promoters of sustainable urban transport. To encourage and increase public transport patronage it is important to investigate the route choice behaviours of urban public transit users. This chapter reviews the main developments of modelling urban public transit users’ route choice behaviours in a historical perspective, from the 1960s to the present time. The approaches reviewed for this study include the early heuristic studies on finding the least-cost transit route and all-or-nothing transit assignment, the bus common lines problem, the disaggregate discrete choice models, the deterministic and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models. This chapter also provides an outlook for the future directions of modelling transit users’ route choice behaviours. Through the comparison with the development of models for motorists’ route choice and traffic assignment problems, this chapter advocates that transit route choice research should draw inspiration from the research outcomes from the road area, and that the modelling practice of transit users’ route choice should further explore the behavioural complexities.

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