Jan-Niklas Meier 1 , Aravind Kailas , 2 , Rawa Adla 3 , George Bitar 2 , Ehsan Moradi-Pari 4 , Oubada Abuchaar 5 , Mahdi Ali 6 , Maher Abubakr 7 , Richard Deering 8 , Umair Ibrahim 3 , Paritosh Kelkar 4 , Vivek Vijaya Kumar 9 , Jay Parikh 8 , Samer Rajab 4 , Masafumi Sakakida 10 , Masashi Yamamoto 10
25 September 2018
road vehicles, adaptive control, road safety, traffic engineering computing, software architecture, control engineering computing, velocity control, software system architecture, United States, Crash Avoidance Metrics Partners, Federal Highway Administration, CACC, cooperative adaptive cruise control, adaptive cruise control, ACC vehicle testing
This study summarises the implementation of software system architecture and relevant modules to enable cooperative adaptive cruise control (CACC) functionalities as an extension of adaptive cruise control (ACC), thereby leveraging the lessons learned from prototype ACC vehicle testing as well as ideas from prior research. These activities were conducted in the United States under a cooperative agreement between the Crash Avoidance Metrics Partners, LLC and the Federal Highway Administration. A key outcome of this project was to understand the implementation of advanced capabilities for the CACC algorithm in a very structured manner. With the introduction of each CACC module, the impacts on the behaviours of vehicles following in a string (or string stability) were quantified to establish potential performance enhancements to automated following systems.