Titlebook: Information Technology and Intelligent Transportation Systems; Volume 1, Proceeding Valentina Emilia Balas,Lakhmi C. Jain,Xiangmo Zhao Conf

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Conference proceedings 2017ement, collision avoidance systems and some cooperative systems. The conference hosted 12 invited speakers and over 200 participants. Each paper was under double peer reviewed by at least 3 reviewers. This proceedings are sponsored by Shaanxi Computer Society and co-sponsored by Chang’an University,

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Integrating Big Data in Metropolitan Regions to Understand Driving Volatility and Implications for Is of 4 major US metropolitan areas across two states. They represent significant variations in land use types and populations; all trips were recorded by in-vehicle GPS devices giving 90,759,197 second-by-second speed records. The data integration helps explore links between driving behaviors and va

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Connected Autonomous Vehicle Control Optimization at Intersectionsersection control mechanism and optimize CAV operations at intersections without signal lights. Simulation-based investigation on traffic system operations provides a cost-effective, risk-free means of exploring optimal management strategies, identifying potential problems, and evaluating various al

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Impact Study of Vehicle Platooning and Gap Management on Traffic Operation Through Automated Vehicleelection, and bottleneck management at a work zone. The resultant benefits are quantified under different rates of market penetration of the automated vehicles, which are distributed randomly in the traffic stream. Preliminary findings are summarized, including the pros and cons of the implementatio

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Toward Assessing State Department of Transportation Readiness for Connected Vehicle/Cooperative Systicle technology. However, many had concerns with cyber security and system failure having catastrophic consequences. Likewise, many voiced concerns about ODOT’s preparedness for connected or automated vehicles. ODOT can use these findings to help prepare for a better future of connected and automate

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Next-Generation Intersection Control Powered by Autonomous and Connected Vehicle Technologies when compared to optimized signal control. Sustainability-wise, as ACUTA minimizes vehicle stops at intersections, it reduces emission and energy consumption as well. Sustainability effects compared with signalized intersection control include: (1) ACUTA reduces CO and PM 2.5 emissions by about 5 %