Spatiotemporal Right-of-Way Allocation for Prioritizing Autonomous Freight Trucks
Autonomous Freight Trucks enhance freight delivery efficiency in open logistics areas but face challenges when coexisting with human-driven trucks. This study proposes a spatiotemporal right-of-way allocation approach, enabling AFTs with different turning movements to alternately share a Truck Priority Lane. Experiments show the approach improves delivery frequency by 27.7%-31.6%, and freight throughput by 10.3%-15.1%. Benefits grow with higher AFT penetration rates, demonstrating robust performance under mixed traffic conditions.
Authors
- Jintao Lai (ORCID: https://orcid.org/0000-0002-6069-6519)
- Jia Hu (ORCID: https://orcid.org/0000-0002-0900-7992)
- James S. Lai (ORCID: https://orcid.org/0000-0002-4302-9570)
- Shixingyue Hu (ORCID: https://orcid.org/0000-0002-4330-1781)
- Zhi‐wei Zhang (ORCID: https://orcid.org/0000-0002-1523-6185)
- Zhe Zhang (ORCID: https://orcid.org/0000-0001-8076-5094)
- Xiaoguang Yang (ORCID: https://orcid.org/0000-0002-7734-0359)
Institutions
- Tongji University (CN)
- Hongzhiwei Technology (China) (CN)
- Chongqing Jiaotong University (CN)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1109/iv64158.2025.11097723
- Primary Topic
- Transportation and Mobility Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China