DocumentCode :
3518291
Title :
Towards An Automated Multiagent Taxi-Dispatch System
Author :
Seow, Kiam Tian ; Dang, Nam Hai ; Lee, Der-Horng
Author_Institution :
Nanyang Technol. Univ., Singapore
fYear :
2007
fDate :
22-25 Sept. 2007
Firstpage :
1045
Lastpage :
1050
Abstract :
This paper presents the study of a novel approach towards an automated taxi dispatch system that handles current bookings in a distributed fashion. Existing systems in use by taxi operators in Singapore attempt to increase customer satisfaction locally, by sequentially dispatching nearby taxis to service customers. The proposed dispatch system attempts to increase customer satisfaction more globally, by concurrently dispatching multiple taxis to the same number of customers in the same geographical region, and vis-a-vis human driver satisfaction. To realize the system, we propose a multiagent architecture, populated with software collaborative agents that can actively negotiate on behalf of taxi drivers in groups of size N for available customer bookings. The operational efficiency of the existing and proposed dispatch systems was evaluated through computer simulations on MITSIMLab, an existing simulation-based laboratory originally developed for evaluating traffic management system designs at the operational level. The empirical results, obtained for a 1000-strong taxi fleet over a discrete range of N, show that the proposed system can dispatch taxis with up to 33.1% and 26.3% reduction in customer waiting time and empty taxi cruising time, respectively.
Keywords :
customer satisfaction; multi-agent systems; software agents; traffic engineering computing; transportation; MITSIMLab; Singapore; automated multiagent taxi-dispatch system; customer satisfaction; human driver satisfaction; multiagent architecture; software collaborative agents; taxi operators; traffic management system design; Automation; Collaboration; Collaborative software; Computer architecture; Computer simulation; Customer satisfaction; Dispatching; Distributed computing; Global Positioning System; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
978-1-4244-1154-2
Electronic_ISBN :
978-1-4244-1154-2
Type :
conf
DOI :
10.1109/COASE.2007.4341673
Filename :
4341673
Link To Document :
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