Concept and Framework of the New Generation of Smart Highway
The rapid growth of the highway system empowers humans to travel between cities fleetly. The new generation of the smart highway (NGSH) has become an irresistible global trend. The exploration of the definition and framework for NGSH can guide us to upgrade the current highway system. This paper summarizes the fundamental features of the NGSH based on the interactive development history of the automobile industry and road transport, which is oriented by the promotion of service capability. Given the evolution of automated driving and connected vehicle, the primary technical components of the NGSH are proposed as full-range integrated perception, digital twin representation, cooperative vehicle-infrastructure applications, and high-speed communication. The corresponding physical framework and digital data flow are introduced, in which three data attributes are considered (data accuracy, dimensionality, and freshness) to describe the data requirements under various scenarios. The development path of the NGSH is further discussed in terms of the different driving automation levels. The characteristics of five levels of smart highways are identified from R0 to R5. Different combinations of NGSH level and vehicle automation level lead to distinct systematic functions. Several urgent problems in the current stage are pointed out from the perspectives of system compatibility, standard specification, and information security. The research provides new insights for sustainable and reproducible highway reformation, drawing some implications for NGSH design.
- Record URL:
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Supplemental Notes:
- This paper was sponsored by TRB committee ACP15 Standing Committee on Intelligent Transportation Systems.
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Corporate Authors:
Transportation Research Board
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Authors:
- Liu, Chenglong
- Wu, Difei
- Zhao, Cong
- Du, Yuchuan
- Li, Yishun
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Conference:
- Transportation Research Board 100th Annual Meeting
- Location: Washington DC, United States
- Date: 2021-1-5 to 2021-1-29
- Date: 2021
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 15p
Subject/Index Terms
- TRT Terms: Automated highways; Automobile industry; Autonomous vehicles; Data communications; Data quality; Driving automation levels; Highways; History; Intelligent transportation systems
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01763940
- Record Type: Publication
- Report/Paper Numbers: TRBAM-21-01257
- Files: TRIS, TRB, ATRI
- Created Date: Feb 4 2021 10:57AM