United States Department of Transportation
Impact of Connected and Autonomous Vehicles on Nontraditional Intersection Design: Superstreets
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2021-09-01
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English
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Abstract:Congestion has been becoming a critical issue for transportation professionals as it increases travel time, energy use and pollutant emissions. Thanks to recent technology development of wireless communication and artificial intelligence, connected and autonomous vehicles (CAVs) become a promising and practical approach to increasing road capacity. As many studies have been done to explore the potential application and impact of CAVs in various transportation environment and scenarios, such as freeway segments (Liu and Fan 2020), signalized intersections (Han et al., 2020), unsignalized intersections (Sharon and Stone, 2017), roundabouts (Anagnostopoulos and Kehagia, 2020) and on/off ramps (Rios-Torres and Malikopoulos, 2016), the operational performance of CAVs at innovative intersections had received relatively less attention. This research aims to mitigate the research gaps by conducting simulation-based research to explore the impact of CAVs on the operational performances in the environment of superstreets.
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Main Document Checksum:urn:sha-512:b234cbe9725fb8c726e95dabd4fc9236ec6c447ffb66814fd6f7592e5148a5becedc2d39069b7d6513b2c7b83055f9d58dc02fe0f0e121c6dffadba86af164e8
File Language:
English
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