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.
Original language | English |
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Pages (from-to) | 392-397 |
Journal | IFAC-PapersOnLine |
Volume | 51 |
Issue number | 9 |
DOIs | |
Publication status | Published - 2018 |
Event | 15th IFAC Symposium on Control in Transportation Systems - Savona, Italy Duration: 6 Jun 2018 → 8 Jun 2018 Conference number: 15 http://www.cts2018.unige.it/ |
Keywords
- Autonomous vehicles
- delivery problem
- freight integration
- People
- Pick-up
- Ride-sharing
- Sustainable transportation