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1591. The Full Truckload Pickup and Delivery Problem with Truck Platooning
Invited abstract in session TD-55: Freight transportation and logistic III, stream Transportation.
Tuesday, 14:30-16:00Room: S02 (building: 101)
Authors (first author is the speaker)
| 1. | Yilin Wang
|
| Industrial Engineering, Tsinghua University | |
| 2. | Junlong Zhang
|
| Industrial Engineering, Tsinghua University |
Abstract
Truck platooning is a promising technology for reducing energy consumption, increasing vehicle safety, and improving traffic efficiency. In this research, we examine the cost-effectiveness of truck platooning from the perspective of a freight company performing full truckload pickup and delivery tasks over a transportation network. We propose two model formulations for this problem: a direct delivery model and an indirect delivery model, where the indirect delivery model allows trucks to visit intermediate locations during deliveries to facilitate the formation of platoons. We devise an improved dynamic discretization discovery (DDD) algorithm to solve the two models exactly. Through extensive computational experiments, we find that (1) the improved DDD algorithm can increase solution accuracy with much less computational effort compared with the original DDD algorithm; (2) the cost-saving effect of truck platooning is favorable, with an average of 80.55% trucks being followers in platoons; and (3) for freight companies operating on small transportation networks, using the direct delivery model may be more appropriate.
Keywords
- Logistics
- Transportation
- Vehicle Routing
Status: accepted
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