Journal ArticleDOI
Designing large-scale bus network with seasonal variations of demand
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TLDR
In this article, a solution procedure using genetic algorithm efficiently, with a defined objective-function to attain the optimization, is proposed to solve this cumbersome problem and applied to two benchmarked networks and to a case study, to the city of Mashhad in Iran with over 3.2 million residents and 20 million visitors annually.Abstract:
Creating a bus network that covers passenger demand conveniently is an important ingredient of the transit operations planning process. Certainly determination of optimal bus network is highly sensitive to any change of demand, thus it is desirable not to consider average or estimated figures, but to take into account prudently the variations of the demand. Many cities worldwide experience seasonal demand variations which naturally have impact on the convenience and optimality of the transit service. That is, the bus network should provide convenient service across all seasons. This issue, addressed in this work, has not been thoroughly dealt with neither in practice nor in the literature. Analyzing seasonal transit demand variations increases further the computational complexity of the bus-network design problem which is known as a NP-hard problem. A solution procedure using genetic algorithm efficiently, with a defined objective-function to attain the optimization, is proposed to solve this cumbersome problem. The method developed is applied to two benchmarked networks and to a case study, to the city of Mashhad in Iran with over 3.2 million residents and 20 million visitors annually. The case study, characterized by a significant seasonal demand variation, demonstrates how to find the best single network of bus routes to suit the fluctuations of the annual passenger demand. The results of comparing the proposed algorithm to previously developed algorithms show that the new development outperforms the other methods between 1% and 9% in terms of the objective function values.read more
Citations
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Journal ArticleDOI
Planning, operation, and control of bus transport systems: A literature review
TL;DR: In this paper, the authors present a comprehensive review of the literature on transit network planning problems and real-time control strategies suitable for bus transport systems, emphasizing recent studies as well as works not addressed in previous reviews.
Journal ArticleDOI
Metaheuristics for the transit route network design problem: a review and comparative analysis
TL;DR: A structured review is offered and prominent metaheuristics for tackling the TRNDP are evaluated, according to a benchmark network, which yields a unified implementation framework, which contains common algorithmic components and different solution representations and methods.
Journal ArticleDOI
Bus service time estimation model for a curbside bus stop
TL;DR: In this article, a compound Poisson service time estimation model (CPSTM) is proposed to estimate the service time at a curbside bus stop, considering the interactions among arriving buses and number of boarding and alighting passengers.
Journal ArticleDOI
Modeling horizontal and vertical equity in the public transport design problem: A case study
TL;DR: This paper deals with how to quantitatively incorporate spatial and social equity principles in the Transit Network Design Problem, proposing a starting candidate route set generation procedure as a preliminary step to solve before the main optimization.
Journal ArticleDOI
An adaptive scaled network for public transport route optimisation
TL;DR: An adaptive network for public transport route optimisation is introduced by scaling down the available street network to a level where optimisation methods such as genetic algorithms can be applied.
References
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BookDOI
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
TL;DR: Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways.
Journal ArticleDOI
Transit network design and scheduling: A global review
Valérie Guihaire,Jin-Kao Hao +1 more
TL;DR: A global review of the crucial strategic and tactical steps of transit planning: the design and scheduling of the network and a classification of 69 approaches dealing with the design, frequencies setting, timetabling of transit lines and their combinations is proposed.
Journal ArticleDOI
Bus network design
Avishai Ceder,Nigel H. M. Wilson +1 more
TL;DR: In this article, an algorithm is presented that can be used to design new bus routes taking account of both passenger and operator interests; however, this algorithm focuses on only a single component of the overall bus operations planning process described in this paper.
Book
Public Transit Planning and Operation: Theory, Modeling and Practice
TL;DR: In this paper, the authors present an introduction to transit service planning, Data Requirements and Collection Frequency and Headway Determination, Timetable Development, Advanced Timetables I: Maximum Passenger Load, AdvancedTimetables II: Maximum Synchronization, Vehicle Scheduling I: Fixed Schedules, Vehicle Schedule II: Variable Schedules.
Journal ArticleDOI
Urban Bus Transit Route Network Design Using Genetic Algorithm
TL;DR: The use of genetic algorithms (GAs), a search and optimization method based on natural genetics and selection, in solving the route network design problem is reported.