Queuing Theory Model of the Optimal Taxi Quantity

DOI

10.2991/icamcs-16.2016.75How to use a DOI?

Keywords

Queuing theory, Multi-objective optimization, Optimal taxi quantity

Abstract

The major assumption is that the total number of cabs in a city should meet two requirements: a) the average customer waiting time is 15 minutes. b) less than 10% of customers end up waiting more than 25 minutes. Now we take a town named Ithaca as an example to work out the optimal taxi quantity. We establish the model of passengers waiting, to research what is the total number of cabs needed to serve the town and meet the two requirements. Passengers waiting for a taxi can be thought as the process of queuing up and waiting for service, in other words, we can use queuing theory to solve the problem.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaolei Zhang
PY  - 2016/06
DA  - 2016/06
TI  - Queuing Theory Model of the Optimal Taxi Quantity
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 357
EP  - 359
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.75
DO  - 10.2991/icamcs-16.2016.75
ID  - Zhang2016/06
ER  -