TY - GEN
T1 - Modeling concurrency and reconfiguration in vehicular systems
T2 - 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
AU - Campbell, Joseph
AU - Tuncali, Cumhur Erkan
AU - Liu, Peng
AU - Pavlic, Theodore
AU - Ozguner, Umit
AU - Fainekos, Georgios
N1 - Funding Information:
This work has been partially supported by award NSF CPS 1446730 and NSF 1446735.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/14
Y1 - 2016/11/14
N2 - As autonomous or semi-autonomous vehicles are deployed on the roads, they will have to eventually start communicating with each other in order to achieve increased efficiency and safety. Current approaches in the control of collaborative vehicles primarily consider homogeneous simplified vehicle dynamics and usually ignore any communication issues. This raises an important question of how systems without the aforementioned limiting assumptions can be modeled, analyzed and certified for safe operation by both industry and governmental agencies. In this work, we propose a modeling framework where communication and system reconfiguration is modeled through π-calculus expressions while the closed-loop control systems are modeled through hybrid automata. We demonstrate how the framework can be utilized for modeling and simulation of platooning behaviors of heterogeneous vehicles.
AB - As autonomous or semi-autonomous vehicles are deployed on the roads, they will have to eventually start communicating with each other in order to achieve increased efficiency and safety. Current approaches in the control of collaborative vehicles primarily consider homogeneous simplified vehicle dynamics and usually ignore any communication issues. This raises an important question of how systems without the aforementioned limiting assumptions can be modeled, analyzed and certified for safe operation by both industry and governmental agencies. In this work, we propose a modeling framework where communication and system reconfiguration is modeled through π-calculus expressions while the closed-loop control systems are modeled through hybrid automata. We demonstrate how the framework can be utilized for modeling and simulation of platooning behaviors of heterogeneous vehicles.
UR - http://www.scopus.com/inward/record.url?scp=85001079087&partnerID=8YFLogxK
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U2 - 10.1109/COASE.2016.7743450
DO - 10.1109/COASE.2016.7743450
M3 - Conference contribution
AN - SCOPUS:85001079087
T3 - IEEE International Conference on Automation Science and Engineering
SP - 523
EP - 530
BT - 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
PB - IEEE Computer Society
Y2 - 21 August 2016 through 24 August 2016
ER -