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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.

Original languageEnglish
Pages (from-to)392-397
JournalIFAC-PapersOnLine
Volume51
Issue number9
DOIs
Publication statusPublished - 2018
Event15th IFAC Symposium on Control in Transportation Systems - Savona, Italy
Duration: 6 Jun 20188 Jun 2018
Conference number: 15
http://www.cts2018.unige.it/

    Research areas

  • Autonomous vehicles, delivery problem, freight integration, People, Pick-up, Ride-sharing, Sustainable transportation

ID: 51568704