Can Connected Autonomous Vehicles Improve Mixed Traffic Safety Without Compromising Efficiency in Realistic Scenarios?
Author:
Affiliation:
1. School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland
Funder
Trinity College Provost Ph.D. Award funded through Alumni Donations and Trinity College Dublin’s Commercial Revenue Unit
Science Foundation Ireland (SFI)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10139322/10026667.pdf?arnumber=10026667
Reference52 articles.
1. Stability of CACC-manual heterogeneous vehicular flow with partial CACC performance degrading
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3. Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic
4. Can Connected Autonomous Vehicles really improve mixed traffic efficiency in realistic scenarios?
5. Developing a Measure of Traffic Congestion: Fuzzy Inference Approach
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