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Domain Specific Modeling Language for Test World Creation. In CAT Vehicle Research Experience for Undergraduates [Internet]. Tucson: The University of Arizona; 2019. http://csl.arizona.edu/content/domain-specific-modeling-language-test-world-creation
Domain Specific Modeling Language for Test World Creation.pdf (77.75 KB) .

Safety and stability analysis of FollowerStopper. In CAT Vehicle Research Experience for Undergraduates [Internet]. Tucson: The University of Arizona; 2019. http://csl.arizona.edu/content/safety-and-stability-analysis-followerstopper
Safety and stability analysis of FollowerStopper.pdf (2 MB) .

Autonomous vehicles: From vehicular control to traffic control. In 2019 IEEE 58th Conference on Decision and Control (CDC) [Internet]. 2019. http://dx.doi.org/10.1109/CDC40024.2019.9029535 .
WiP Abstract: String stability of commercial adaptive cruise control vehicles. In International Conference on Cyber-Physical Systems [Internet]. 2019. https://dl.acm.org/citation.cfm?id=3313325 .
Reinforcement Learning for Autonomous Driving using CAT Vehicle Testbed. In CAT Vehicle Research Experience for Undergraduates [Internet]. Tucson: The University of Arizona; 2019. http://csl.arizona.edu/content/reinforcement-learning-autonomous-driving-using-cat-vehicle-testbed
Reinforcement Learning for Autonomous Driving.pdf (488.41 KB) .

A meta-metamodel for dynamic constraint feedback in modeling languages. In Proceedings of the 17th ACM SIGPLAN International Workshop on Domain-Specific Modeling [Internet]. 2019. https://doi.org/10.1145/3358501.3361239 .
Adaptive HSL Filters and Inverse Perspective Transforms in Lane Detection for Autonomous Driving. In CAT Vehicle REU [Internet]. 2019. http://doi.org/10.13140/RG.2.2.18919.60327
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Real-Time Distance Estimation and Filtering of Vehicle Headways for Smoothing of Traffic Waves [Internet]. 10th ed. International Conference on Cyber-Physical Systems 2019. Montreal, Canada; 2019. https://dl.acm.org/citation.cfm?doid=3302509.3314026 .
Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data. Transportation Research Part C: Emerging Technologies [Internet]. Elsevier; 2019;99:82–109. https://doi.org/10.1016/j.trc.2018.12.012 .
Quantifying air quality benefits resulting from few autonomous vehicles stabilizing traffic. Transportation Research Part D: Transport and Environment [Internet]. 2019;67. https://doi.org/10.1016/j.trd.2018.12.008 .