Liu, Hao; Xiao-Yun Lu; Steven E. Shladover; and Zhitong Huang
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Researchers conducted a simulation-based case study on the northbound side of a 13-mile segment of a busy urban corridor, with 16 on-ramps, 12 off-ramps and 10 interchanges (the SR 99 corridor in California). The goal of the case study was to investigate the effectiveness of Society of Automotive Engineers (SAE) Level 1 automation technology for mitigating transportation problems related to congestion, fuel consumption, and emissions.

The case study examined the impacts of passenger vehicles equipped with cooperative adaptive cruise control (CACC) on traffic performance and fuel consumption under various CACC market penetration scenarios, traffic demand inputs, and CACC management strategies. Additionally, it analyzed CACC string operation after vehicle awareness device (VAD) and CACC managed lane (ML) strategies were implemented. VAD vehicles have wireless communication capability and can broadcast real-time information regarding their operational status and route choice. The CACC ML strategy allows CACC vehicles and VAD vehicles to enter the ML, which physically separates the CACC traffic stream and the regular traffic stream.

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USDOT Federal Highway Administration
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Developing Analysis, Modeling, and Simulation Tools for Connected Automated Vehicle Applications: A Case Study on SR 99 in California
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