Authors:
Joerg Schweizer
1
;
Tiziano Parriani
2
;
Emiliano Traversi
3
and
Federico Rupi
1
Affiliations:
1
University of Bologna, Italy
;
2
Optit, Italy
;
3
University of Paris 13, France
Keyword(s):
Self-driving Cars, Automated Vehicles, PRT Personal Rapid Transit, Unoccupied Vehicle Routing, Traffic Assignment, System Optimum, User Equilibrium.
Related
Ontology
Subjects/Areas/Topics:
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Systems Modeling and Simulation
Abstract:
This paper provides a novel assignment method and a solution algorithm that allows to determine the optimum
vehicle flows in a fully automated vehicle network. This assignment method incorporates the following specific
features: (1) optimal redistribution of occupied and unoccupied vehicles; (2) inter-vehicle spacing is adapted to
meet the minimum safe distance criteria on congested link, (no collision in the worst failure case); (3) trip-time
minimization of all traffic participants by a centralized vehicle routing. The latter feature allows the realization
of a so called system optimum solution, which minimizes the total time of all trips. This assignment method is
applied to two, topologically different, test networks at different travel demand levels, in order to determine:
the share of unoccupied vehicle, the minimum number of required vehicles, the share of congested links, the
lost trip-time of occupied vehicles due to the presents of unoccupied vehicles. Furthermore, the adva
ntage of a
centralized vehicle routing is quantified by comparing the total trip-times of a scenario using a system optimum
solution with a scenario applying the user equilibrium solution, without considering unoccupied vehicle flows.
Regarding the investigated scenarios, the share of unoccupied vehicle flows with centralized vehicle routing
in a uniform, random demand scenario is approximately 11%14%.
(More)