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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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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