Intelligent Intersections Reduce Crashes and Will Support the Safe Introduction of Autonomous Vehicles

Alex Kurzhanskiy and Pravin Varaiya

Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley

Abstract: Intersections are dangerous. In the U.S., approximately 40% of all crashes, 50% of serious collisions, and 20% of fatalities occur in intersections. Intersections are challenging due to complex interactions among pedestrians, bicycles and vehicles; absence of lane markings; difficulty in determining who has the right of way; blind spots; and illegal movements (e.g., vehicles running red lights). Many cities have developed Vision Zero plans seeking to eliminate traffic injuries and deaths through modifications to road infrastructure, such as adding bike lanes and pedestrian refuge islands. These modifications can be expensive (e.g., the cost of a protected intersection can range between $250,000 to more than a $1 million) and have mixed safety results. It is claimed autonomous vehicles (AVs) will prevent 94% of all crashes involving human error. However, the safety performance of AVs is far below that of human-driven cars. In California, the number of accidents and disengagements per AV mile traveled is 13 to 100 times worse than human-driven cars. The AV fatality rate is equally as bad. AVs find intersections especially challenging; 58 of 66 (88%) AV crashes reported to the California Department of Motor Vehicles (DMV) occurred in intersections.

Keywords: Engineering (search for similar items in EconPapers)
Date: 2018-08-01
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