A solution approach for the stochastic airport bus routing problem

Abdelaziz, Fouad Ben; Masri, Hatem; Alaya, Houda

doi:10.1109/icmsao.2011.5775500

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…(9)means that when a service truck serves for two scheduled flights continuously, its service time starts no earlier than the time when it has finished serving the preceding scheduled Flight j and arrives the gate position of the latter scheduled Flight j. ( 10 ) ensures that a vehicle must only serve for one of the two scheduled flights , if the service time conflicts. (11)- (12)means that the starting point and the destination of a service truck must be the preceding flight or the latter flight's gate position or garage.…”

Section: N mentioning

confidence: 99%

The Establishment of Multi-goal Dispatch Algorithm Model of the Airport Special Vehicle

Shi¹,

Song²,

Han³

2014

Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

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With the continuous development of domestic aviation industry, the number of special purpose vehicle serving for aircrafts within the airport is increasing. Owing to the high cost of the special purpose vehicle, airport management personnel becomes more and more concerned about the following problems, including how to dispatch the vehicle in a reasonable way, how to ensure that the vehicle can run safely and efficiently, and how to ensure that the flights can take off on time. This paper makes a particular introduction about the intelligent schedule system for the special purpose vehicle within the airport at first. This paper not only summarizes the intelligent scheduling system of the airport special purpose vehicle briefly, but also sets up the dispatching model of the airport special purpose vehicle, which can efficiently guarantee the operation efficiency and the operation security of the special purpose vehicle at the airport, and save the cost of the vehicle operation. Keywords-special purpose vehicle at the airport; intelligent scheduling; multi-goal model; dispatching model； heuristic algorithm I.

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Section: N mentioning

confidence: 99%