Integrating People and Freight Transportation Using Shared Autonomous Vehicles with Compartments. Issue 9 (2018)

• Record Type: Journal Article
• Authors: Beirigo, Breno A.; Schulte, Frederik; Negenborn, Rudy R.
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 9(2018)
• Page Start: 392
• Page End: 397
• Publication Date: 2018
• Subjects: Ride-sharing -- People -- freight integration -- Autonomous vehicles -- Pick-up -- delivery problem -- Sustainable transportation; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.07.064
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In the realm of human urban transportation, many recent studies have shown that comparatively smaller fleets of shared autonomous vehicles (SAVs) are able to provide efficient door-to-door transportation services for city dwellers. However, because of the steady growth of e-commerce and same-day delivery services, new city logistics approaches will also be required to deal with last-mile parcel delivery challenges. We focus on modeling a variation of the people and freight integrated transportation problem (PFIT problem) in which both passenger and parcel requests are pooled in mixed-purpose compartmentalized SAVs. Such vehicles are supposed to combine freight and passenger overlapping journeys on the shared mobility infrastructure network. We formally address the problem as the share-a-ride with parcel lockers problem (SARPLP), implement a mixed-integer linear programming (MILP) formulation, and compare the performance of single-purpose and mixed-purpose fleets on 216 transportation scenarios. For 149 scenarios where the solver gaps of the experimental results are negligible (less than 1%), we have shown that mixed-purpose fleets perform in average 11% better than single-purpose fleets. Additionally, the results indicate that the busier is the logistical scenario the better is the performance of the mixed-purpose fleet setting.