Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6892483 | Computers & Operations Research | 2018 | 13 Pages |
Abstract
Autonomous vehicles, and in particular autonomous trucks (ATs), are an emerging technology that is becoming a reality in the transportation sector. This paper addresses the problem of optimizing the routes and the speeds of ATs making deliveries under uncertain traffic conditions. The aim is to reduce the cost of emissions, fuel consumption and travel times. The traffic conditions are represented by a discrete set of scenarios, using which the problem is modeled in the form of two-stage stochastic programming formulations using two different recourse strategies. The strategies differ in the amount of information available during the decision making process. Computational results show the added value of stochastic modeling over a deterministic approach and the quantified benefits of optimizing speed.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Moncef Ilies Nasri, Tolga BektaÅ, Gilbert Laporte,