Graham Kendall
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Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

The hunt for MH370
http://bit.ly/1DXRLbu
I blog occasionally, feel free to take a look.
http://bit.ly/hq6rMK

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

The Monty Hall Problem

Publication(s)

A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization
http://bit.ly/1wqQplE
A Puzzle to Challenge Genetic Programming
http://bit.ly/egBVYj
An investigation of a tabu assisted hyper-heuristic genetic algorithm
http://bit.ly/e1WFfU
Scheduling English Football Fixtures: Consideration of Two Conflicting Objectives
http://bit.ly/1hWKuwV

Graham Kendall: Details of Requested Publication


Citation

Bai, R; L, J; Atkin, J. A. D and Kendall, G A Game Theoretic Approach for Taxi Scheduling Problem with Street Hailing. In Proceedings of the 5th Multidisciplinary International Conference on Scheduling: Theory and Applications, pages 161-172, 2011.


Abstract

This paper describes a taxi scheduling system to improve the efficiency of taxi services which are mainly implemented by means of street hailing. This is of particular relevance to Chinese cities, where this is by far the most common way in which taxis are requested, since the majority of taxi drivers are independent rather than being affiliated with a specific company. The mobile phone and GPS-based taxi scheduling system which is described in this paper aims to provide a decision support system for taxi drivers and facilitates information exchange between taxi drivers and passengers, while allowing drivers to remain independent. The taxi scheduling problem is considered to be a non-cooperative game between taxi drivers and a description of this problem is given in this paper. We adopt an efficient algorithm to discover a Nash equilibrium, such that each taxi driver and passenger cannot benefit from changing their assigned partner. Two computational examples are given to illustrate the effectiveness of the approach.


pdf

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Bibtex

@INPROCEEDINGS{blak2011, author = {R. Bai and J. L and J. A. D. Atkin and G. Kendall},
title = {A Game Theoretic Approach for Taxi Scheduling Problem with Street Hailing},
booktitle = {Proceedings of the 5th Multidisciplinary International Conference on Scheduling: Theory and Applications},
year = {2011},
editor = {J. Fowler and G. Kendall and B. McCollum},
pages = {161--172},
organization = {Arizona},
abstract = {This paper describes a taxi scheduling system to improve the efficiency of taxi services which are mainly implemented by means of street hailing. This is of particular relevance to Chinese cities, where this is by far the most common way in which taxis are requested, since the majority of taxi drivers are independent rather than being affiliated with a specific company. The mobile phone and GPS-based taxi scheduling system which is described in this paper aims to provide a decision support system for taxi drivers and facilitates information exchange between taxi drivers and passengers, while allowing drivers to remain independent. The taxi scheduling problem is considered to be a non-cooperative game between taxi drivers and a description of this problem is given in this paper. We adopt an efficient algorithm to discover a Nash equilibrium, such that each taxi driver and passenger cannot benefit from changing their assigned partner. Two computational examples are given to illustrate the effectiveness of the approach.},
keywords = {CRP, Vehicle Routing, Scheduling, Game Theory},
timestamp = {2007.07.28},
webpdf = {http://www.graham-kendall.com/papers/blak2011.pdf} }