Presented By: Center for Connected and Automated Transportation
Developing and Utilizing CAV Technologies to Improve Traffic Control and Safety
Dr. Ping Yi
In recent years, the landscape of vehicular technology has undergone a significant transformation, driven by extensive research and development efforts in connected and automated vehicle (CAV) technologies. This surge in innovation is not just a fleeting trend; it forecasts a future, within the next 10 to 20 years, where our roads will be a blend of autonomous vehicles and traditional vehicles operated by human drivers. The seamless integration of these autonomous vehicles into our daily commutes hinges on a multifaceted approach. It necessitates the harmonization of CAV technologies with existing systems, including traffic control mechanisms, roadway maintenance protocols, and driver education and training. This integrative effort is pivotal in enhancing the applicability and reliability of CAV technologies in the current traffic ecosystem.
This research review highlights a series of initiatives undertaken in recent years by the University of Akron’s researchers. These projects focus on a diverse set of topics: intersection control in mixed traffic conditions, control of CAV fleet formations under various roadway and vehicle conditions, strategies for safe gap selection tailored for older drivers, and educational programs for senior citizens aimed at fostering understanding and acceptance of CAV technologies. Each project’s objectives and research methodology are discussed, followed by an analysis of the results. This analysis assists in evaluating the effectiveness of these initiatives and underscores the benefits of integrating CAV technologies into the current transportation system.
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About the speaker: Dr. Ping Yi, a professor in the Department of Civil Engineering at The University of Akron, Ohio, USA, has an extensive background in research and teaching, specializing in areas including traffic control and safety, sensor technologies, and information systems and data analytics. With a diversified portfolio of research projects sponsored by federal and state funding, Dr. Yi has made various contributions to the field, evidenced by his numerous publications in refereed journals. In recent years, representing the University of Akron in Region V of the UTC program, he has cultivated a keen interest in the operations and utilization of connected and autonomous vehicles. His work in this area focuses on enhancing the efficiency and safety of traffic systems and educating senior citizens to foster a better understanding and acceptance of the CAV technologies.
This research review highlights a series of initiatives undertaken in recent years by the University of Akron’s researchers. These projects focus on a diverse set of topics: intersection control in mixed traffic conditions, control of CAV fleet formations under various roadway and vehicle conditions, strategies for safe gap selection tailored for older drivers, and educational programs for senior citizens aimed at fostering understanding and acceptance of CAV technologies. Each project’s objectives and research methodology are discussed, followed by an analysis of the results. This analysis assists in evaluating the effectiveness of these initiatives and underscores the benefits of integrating CAV technologies into the current transportation system.
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About the speaker: Dr. Ping Yi, a professor in the Department of Civil Engineering at The University of Akron, Ohio, USA, has an extensive background in research and teaching, specializing in areas including traffic control and safety, sensor technologies, and information systems and data analytics. With a diversified portfolio of research projects sponsored by federal and state funding, Dr. Yi has made various contributions to the field, evidenced by his numerous publications in refereed journals. In recent years, representing the University of Akron in Region V of the UTC program, he has cultivated a keen interest in the operations and utilization of connected and autonomous vehicles. His work in this area focuses on enhancing the efficiency and safety of traffic systems and educating senior citizens to foster a better understanding and acceptance of the CAV technologies.
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