Development of a Knowledge Base for Multiyear Infrastructure Planning for Connected and Automated Vehicles
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 4
Abstract
Connected and automated vehicles (CAVs) require proper infrastructure for safer and more reliable operations. Many state and local planning agencies have developed multiyear capital programs to provide such infrastructure in a timely manner within their limited budgets. Meanwhile, the traffic environment will evolve over time as CAV technologies become available (i.e., toward the mixed environment of CAVs and human-driven vehicles), which requires infrastructure plans specific to different planning terms (i.e., short-, medium-, and long-term) to accommodate changing infrastructure needs. To develop an effective multiyear infrastructure plan, planning agencies need to understand changing infrastructure needs with time, identify alternative infrastructure options for different planning terms, and select the most appropriate ones based on their long-term vision. This study performed a systematic literature review to develop a knowledge base for multiyear infrastructure planning for CAVs. To be more specific, the literature review aims to develop the following knowledge areas: (1) identification of existing and future infrastructure options for the operation of CAVs, (2) understanding the role of infrastructure to support different functions of CAVs to realize safety, mobility, and environmental benefits, and (3) integration of the aforementioned findings into planning agencies’ multiyear infrastructure plans for CAVs. Based on the review, this study categorizes different CAV infrastructure into existing infrastructure and future infrastructure options while considering five system functions of CAVs (i.e., cooperative merging, platooning, intersection movement, dynamic routing, and cooperation and connected functions) to illustrate the role of these infrastructure options under different traffic scenarios. The implementation of the developed knowledge base is demonstrated through a case study of two selected state agencies’ long-term infrastructure planning for CAVs.
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Data Availability Statement
No data, models, or codes were generated or used during the study.
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Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 148 • Issue 4 • April 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Published online: Jan 27, 2022
Published in print: Apr 1, 2022
Discussion open until: Jun 27, 2022
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Automation and robotics
- Bibliographies
- Business management
- Case studies
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Information management
- Infrastructure
- Intelligent transportation systems
- Knowledge-based systems
- Methodology (by type)
- Practice and Profession
- Public administration
- Public health and safety
- Research methods (by type)
- Safety
- Systems engineering
- Traffic engineering
- Traffic management
- Transportation engineering
- Transportation management
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Cited by
- Nicolette Formosa, Mohammed Quddus, Cheuk Ki Man, Mohit Kumar Singh, Craig Morton, Cansu Bahar Masera, Evaluating the Impact of Lane Marking Quality on the Operation of Autonomous Vehicles, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.TEENG-7688, 150, 1, (2024).