TY - GEN
T1 - Overview of a dynamic evaluation of Collective Taxi Systems providing an optimal performance
AU - Lioris, Eugénie
AU - Cohen, Guy
AU - De La Fortelle, Arnaud
PY - 2010/9/17
Y1 - 2010/9/17
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77956527579&partnerID=8YFLogxK
U2 - 10.1109/IVS.2010.5548116
DO - 10.1109/IVS.2010.5548116
M3 - Conference contribution
AN - SCOPUS:77956527579
SN - 9781424478668
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1110
EP - 1115
BT - 2010 IEEE Intelligent Vehicles Symposium, IV 2010
T2 - 2010 IEEE Intelligent Vehicles Symposium, IV 2010
Y2 - 21 June 2010 through 24 June 2010
ER -
