Overview of a dynamic evaluation of Collective Taxi Systems providing an optimal performance

Eugénie Lioris, Guy Cohen, Arnaud De La Fortelle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

When considering the need for an intelligent transportation mode based upon the fact that car travel is still the consumer's first choice, we decided to explore the idea of collective taxis. More precisely, we are seeking to provide an autonomous high quality door-to-door service, affordable by almost everyone, covering the entire urban area, simply by allocating in an optimal way more than one passenger to each vehicle and using the latest available information regarding traffic conditions, etc. Because this system is far less unconstrained than most public transportation systems, it has high potentialities in terms of performance and flexibility, but it is consequently very difficult to manage and to design optimally. Therefore, we present a discrete event simulation tool and show how it can be used to conceive, optimise and compare decision algorithms, achieve sound trade-off between conflicting performance indicators and assess the efficiency of the system in various contexts.

Original languageEnglish
Title of host publication2010 IEEE Intelligent Vehicles Symposium, IV 2010
Pages1110-1115
Number of pages6
DOIs
StatePublished - 17 Sep 2010
Externally publishedYes
Event2010 IEEE Intelligent Vehicles Symposium, IV 2010 - La Jolla, CA, United States
Duration: 21 Jun 201024 Jun 2010

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference2010 IEEE Intelligent Vehicles Symposium, IV 2010
Country/TerritoryUnited States
CityLa Jolla, CA
Period21/06/1024/06/10

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