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Bi-objective Study of Public Transport Operation in Smart Cities to Minimize On-Board Passenger Traveling Time and Stop Passenger Delay

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Internet of Everything for Smart City and Smart Healthcare Applications

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Abstract

In existing bus operation systems, the on-board passenger delay is always neglected. With the aim to make the trade-off between stop passengers and on-board passengers, a bi-objective study on a bus operation system is carried out to minimize the stop passenger delay as well as the on-board passenger delay for smart cities. The bus operating system is formulated as a mixed logical optimization model incorporating both speed control and holding time control and is transformed into a mixed-integer nonlinear programming (MINLP) problem, which is analyzed by comparing the corresponding bus movement characteristics under two different objectives. On the other hand, to satisfy a compromise between two types of passengers, a bi-objective bus operation problem is proposed and solved by the non-dominated sorting genetic algorithm II (NSGA-II) and non-dominated sorting harmony search (NSHS) algorithm, respectively. The comparison of two algorithms is conducted in the simulation to illustrate associated efficiencies.

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Abbreviations

EA:

Evolutionary algorithm

GA:

Genetic algorithm

HMCR:

Harmony memory considering rate

HS:

Harmony search

MINLP:

Mixed-integer nonlinear programming

NSGA-II:

Non-dominated sorting genetic algorithm II

NSHS:

Non-dominated sorting harmony search

OD:

Origin-destination

PAR:

Pitch adjustment rate

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Correspondence to Anuj Abraham .

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Zhang, Y., Abraham, A. (2024). Bi-objective Study of Public Transport Operation in Smart Cities to Minimize On-Board Passenger Traveling Time and Stop Passenger Delay. In: Gupta, N., Mishra, S. (eds) Internet of Everything for Smart City and Smart Healthcare Applications. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-34601-9_8

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  • DOI: https://doi.org/10.1007/978-3-031-34601-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34600-2

  • Online ISBN: 978-3-031-34601-9

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