Introducing an Intelligent Intersection

Status

Complete

Project Timeline

Principal Investigator

Pravin Varaiya

Areas of Expertise

Intelligent Transportation Systems, Emerging Technologies, & Big Data

Campus(es)

UC Berkeley

Project Summary

Multimodal intersections present a very demanding environment for all the parties involved. Challenges arise from complex vehicle trajectories; the absence of lane markings to guide vehicles; split phases that prevent determining who has the right of way; invisible vehicle approaches; illegal movements; simultaneous interactions among pedestrians, bicycles and vehicles. It is often the case that on-board sensing equipment is not sufficient for a vehicle’s autopilot to steer the vehicle through an intersection safely and efficiently. In such situations infrastructure-to-vehicle (I2V) technology can provide additional information enhancing the vehicle’s awareness about real-time intersection dynamics. For this project, we will develop a simulation based tool built around PreScan that will perform quantitative evaluation of effectiveness of an I2V system at any given intersection. I2V effectiveness will be quantified in terms of mobility and safety performance measures by comparing “with I2V” and “without I2V” simulation scenarios.