Development and Performance Evaluation of AVCSS Deployment Sequences to Advance from Today's Driving Environment to Full Automation

作者: Steven Shladover , Joel VanderWerf , Mark A Miller , Natalia Kourjanskaia , Hariharan Krishnan

DOI:

关键词: Traffic flowCruise controlMarket penetrationTransport engineeringSystems engineeringCooperative Adaptive Cruise ControlAutomationTruckWork (electrical)Software deploymentEngineering

摘要: This report presents the findings of its investigation into deployment sequences to better understand paths that could be taken from today's driving environment vehicle-highway automation. One most vexing problems has always been determining how advance present-day manually-controlled vehicles future fully automated vehicles. Considerable research attention devoted defining architecture and operating protocols, as well technology, highway systems. Rather less steps by which we can get there. Initially, targets opportunity were identified for accelerating progress toward automation, taking account operational constraints. Next, after reviewing existing literature on systems deployment, a set principles govern design strategies is suggested followed proposed systems, beginning with adaptive cruise control then adding elements vehicle-vehicle cooperation lane protection build capabilities within constraints technological, human factors economic feasibility. A general staging sequence presented along example "roadmaps" shown transit buses, heavy trucks light-duty passenger Finally, discuss our modeling evaluation work stages specific in setting single lane. incorporates use cooperative conventional or autonomous manual-driven The assesses impact each these three modes traffic flow dynamics capacity increasing proportions both relative manually driven Such effects are difficult estimate field tests highways because their necessarily low market penetration Our approach uses Monte Carlo simulations based detailed quantitative varying vehicle types queue lengths wait times at on-ramps.

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