This article discusses past, present, and future research on connected automated vehicles and their impact on road transportation. From the 1980s, microcontrollers started to penetrate production vehicles through various subsystems such as engine control units, and anti-lock braking systems. Soon the need for different microcontrollers to communicate with each other led to the invention of the controller area network bus. In the 1990s, onboard sensors were introduced to monitor the environment and the motion of neighboring vehicles. These sensors, combined with more powerful computers, allowed vehicles to perform lateral and longitudinal control such as lane keeping and car following. Starting from the mid-2000s, wireless communication technologies such as WiFi and 4G/LTE have been adopted in order to facilitate vehicle-to-vehicle and vehicle-to-infrastructure communication. These are often referred to as vehicle-to-everything (V2X) communication, where X also includes pedestrians, bicyclists, etc. In particular, in the United States, dedicated short-range communication has been standardized based on IEEE 802.11p protocol, which allows low-latency, ad-hoc, and peer-to-peer communication with 10-Hz update frequency.
Seeing Beyond the Line of Site – Controlling Connected Automated Vehicles
Gábor Orosz received the M.Sc. degree in engineering physics from the Budapest University of Technology in 2002 and the Ph.D. degree in engineering mathematics from the University of Bristol in 2006. He held post-doctoral positions with the University of Exeter and the University of California, Santa Barbara. In 2010 he joined the University of Michigan, Ann Arbor, where he is currently an associate professor in mechanical engineering. His research interests include nonlinear dynamics and control, time delay systems, networks and complex systems with applications on connected and automated vehicles.
Jin Ge received the bachelor’s degree in transportation engineering and the master’s degree in automotive engineering from the Beijing University of Aeronautics and Astronautics in 2010 and 2012, respectively, and the Ph.D. degree in mechanical engineering from the University of Michigan, Ann Arbor in 2017. She is currently a postdoctoral researcher at the California Institute of Technology. Her research focuses on dynamics and control of connected vehicles, optimal control, and time-delay systems.
Chaozhe He received the B.Sc. degree in applied mathematics from the Beijing University of Aeronautics and Astronautics in 2012. He is currently pursuing the Ph.D. degree in mechanical engineering with the University of Michigan, Ann Arbor. His current research interests include dynamics and control of connected vehicles, optimal control theory, and its applications.
Sergei Avedisov received B.Sc. degree in mechanical engineering from the University of Michigan, Ann Arbor in 2012 and he is currently working on his Ph.D. degree in mechanical engineering at the same institution. His current research interests include connected and automated vehicles, vehicle steering, and dynamics and vibrations.
Wubing Qin received the B.Eng. degree from the Huazhong University of Science and Technology in 2011. He is currently pursuing the Ph.D. degree in mechanical engineering with the University of Michigan, Ann Arbor. His current research interests include dynamics and control of connected vehicles and nonlinear and stochastic systems with time delays.
Linjun Zhang received the B.Eng. degree in automation from Northeastern University, China in 2009, the M.Eng. degree in control science and engineering from the Beijing University of Aeronautics and Astronautics in 2012, and the Ph.D. degree in mechanical engineering from the University of Michigan, Ann Arbor in 2017. He is currently a research engineer for autonomous vehicles with Ford Motor Company. His research interests include intelligent transportation systems, vehicle dynamics and control, nonlinear control, time-delay systems, machine learning, and system identification.
Orosz, G., Ge, J. I., He, C. R., Avedisov, S. S., Qin, W. B., and Zhang, L. (December 1, 2017). "Seeing Beyond the Line of Site – Controlling Connected Automated Vehicles." ASME. Mechanical Engineering. December 2017; 139(12): S8–S12. https://doi.org/10.1115/1.2017-Dec-8
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