Paper Info
Title
Dealing With The Strategic Level Of Decisions Related To Automated Transit Networks: A Hybrid Heuristic Approach
Abstract
The automated transit networks (ATN) is a new and sophisticated concept which has the possibility to solve problems related to transit in urban areas. In ATN, driverless vehicles run on exclusive guide-ways in order to provide on-demand transportation service. In this paper, we focus on the strategic level of decision related to ATN. We deal with the problem of determining the best size of fleet of ATN vehicles while satisfying a set of transportation demands. A hybrid heuristic approach is developed while taking into account the objective of finding good quality solutions in a short computational time. Computational results performed in this study demonstrate the efficiency of our approach.
Year
DOI
Venue
2016
10.1007/978-3-319-39636-1_15
HYBRID METAHEURISTICS (HM 2016)
Keywords
DocType
Volume
Automated transit networks, Driverless vehicles, Routing, Heuristic
Conference
9668
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
14
2
Name
Order
Citations
PageRank
Olfa Chebbi1417.22
Jouhaina Chaouachi201.35