Scenario-Based Infrastructure Requirements for Automated Driving
Current road infrastructure is designed for human drivers, and may be unable to deal with the integration of highly automated vehicles. The aim of this paper is to explore potential infrastructure requirements for automated driving SAE Level 4. To cope with the wide range of uncertainties involved, a scenario-based approach was used to define two plausible future scenarios. Subsequently, two rounds of interviews with manufacturers, road operators, and academicians were conducted. The first round aimed at specifying potential requirements while the second round aimed at mapping these requirements into the scenarios. The main finding is that under both plausible scenarios, clear and harmonized road signs and lane markings, High-definition maps and vehicle-to-infrastructure communication technology are key requirements while dedicated lanes can only be considered under the advanced scenario. Additionally, the results show that a transition from physical infrastructure to digital infrastructure will happen after roadside wireless technology is available.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482292
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Supplemental Notes:
- © 2019 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Lu, Xiaolin
- Madadi, Bahman
- Farah, Haneen
- Snelder, Maaike
- Annema, Jan Anne
- Van Arem, Bart
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Conference:
- 19th COTA International Conference of Transportation Professionals
- Location: Nanjing , China
- Date: 2019-7-6 to 2019-7-8
- Publication Date: 2019-7
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 5684-5695
- Monograph Title: CICTP 2019: Transportation in China—Connecting the World
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Highway design; Infrastructure
- Subject Areas: Design; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01712058
- Record Type: Publication
- ISBN: 9780784482292
- Files: TRIS, ASCE
- Created Date: Jul 22 2019 8:00PM