Vehicle-based interactive management with multi-agent approach
Abstract: Under the energy
crisis and global warming, mass transportation becomes more important than
before. The disadvantages of mass transportation, plus the high flexibility and
efficiency of taxi and with the revolution of technology, electric-taxi is the
better transportation choice for metropolis. On the other hand, among the many
taxi service types, dial-a-ride (DAR) service system is the better way for
passenger and taxi. However the electricity replenishing of electric-taxi is
the biggest shortage and constraint for DAR operation system. In order to more
effectively manage the electric-taxi DAR operation system and the lots of
disadvantages of physical system and observe the behaviors and interactions of
simulation system, multi-agent simulation technique is the most suitable
simulation technique. Finally, we use virtual data as the input of simulation
system and analyze the simulation result. We successfully obtain two
performance measures: average waiting time and service rate. Result shows the
average waiting time is only 3.93 seconds and the service rate (total transport
passenger number / total passenger number) is 37.073%. So these two performance
measures can support us to make management decisions. The multiagent oriented
model put forward in this article is the subject of an application intended in
the long term to supervise the user information system of an urban transport
network.
Author: Yee Ming Chen, Bo-Yuan
Wang
Journal Code: jptindustrigg090026
