CPS

Cyber-physical systems

CIRCLES

The Congestion Impacts Reduction via CAV-in-the-loop Lagrangian Energy Smoothing (CIRCLES) project aims to reduce instabilities in traffic flow, called "phantom jams," that cause congestion and wasted energy. If you have ever encountered a temporary traffic jam for no apparent reason, this might have been a phantom jam that occurred naturally because of human driving behavior.

Autonomous vehicles: From vehicular control to traffic control

M. L. Delle Monache, Sprinkle, J., Vasudevan, R., and Work, D., “Autonomous vehicles: From vehicular control to traffic control”, in 2019 IEEE 58th Conference on Decision and Control (CDC), 2019.

Safety and Stability Analysis of the FollowerStopper Traffic Wave Dampening Controller (Late-Breaking Poster)

C. Kreienkamp, Fishbein, D., Bhadani, R., and Sprinkle, J., “Safety and Stability Analysis of the FollowerStopper Traffic Wave Dampening Controller (Late-Breaking Poster)”, in American Control Conference, 2020.

A meta-metamodel for dynamic constraint feedback in modeling languages

M. Bunting and Sprinkle, J., “A meta-metamodel for dynamic constraint feedback in modeling languages”, in Proceedings of the 17th ACM SIGPLAN International Workshop on Domain-Specific Modeling, 2019.

Feedback Control Algorithms for the Dissipation of Traffic Waves with Autonomous Vehicles

M. Laura Dell Monache, Liard, T., Rat, A., Stern, R. E., Bhadani, R., Seibold, B., Sprinkle, J., Work, D. B., and Piccoli, B., “Feedback Control Algorithms for the Dissipation of Traffic Waves with Autonomous Vehicles”, in Computational Intelligence and Optimization Methods for Control Engineering, M. Josée Blondin, Pardalos, P. M., and Sáez, J. Sanchis, Eds. Cham: Springer International Publishing, 2019, pp. 275–299.

The Arizona Ring Experiments Dataset (ARED)

F. Wu, Stern, R. E., Cui, S., Monache, M. Laura Dell, Bhadani, R., Bunting, M., Churchill, M., Hamilton, N., Wu, F., Piccoli, B., Seibold, B., Sprinkle, J., and Work, D. B., “The Arizona Ring Experiments Dataset (ARED)”. 2018.

Model-based engineering with application to autonomy

R. Bhadani, Bunting, M., and Sprinkle, J., “Model-based engineering with application to autonomy”, in Complexity Challenges in Cyber Physical Systems: Using Modeling and Simulation (M&S) to Support Intelligence, Adaptation and Autonomy, Wiley, 2019, pp. 255-285.

WiP Abstract: String stability of commercial adaptive cruise control vehicles

G. Gunter, Yang, Y., Stern, R. E., Work, D. B., Monache, M. Laura Dell, Bhadani, R., Bunting, M., Lysecky, R., Sprinkle, J., Seibold, B., and Piccoli, B., “WiP Abstract: String stability of commercial adaptive cruise control vehicles”, in International Conference on Cyber-Physical Systems, 2019.

Are commercially implemented adaptive cruise control systems string stable?

G. Gunter, Gloudemans, D., Stern, R. E., McQuade, S., Bhadani, R., Bunting, M., Monache, M. Laura Dell, Seibold, B., Sprinkle, J., Piccoli, B., and Work, D. B., “Are commercially implemented adaptive cruise control systems string stable?”, IEEE Transactions on Intelligent Transportation Systems, p. 12 pages, 2020.

Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data

F. Wu, Stern, R. E., Cui, S., Monache, M. Laura Dell, Bhadani, R., Bunting, M., Churchill, M., Hamilton, N., Piccoli, B., Seibold, B., Sprinkle, J., and Work, D. B., “Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data”, Transportation Research Part C: Emerging Technologies, vol. 99, pp. 82–109, 2019.
Subscribe to RSS - CPS