Cellular communication of traffic signal state to connected vehicles for arterial eco-driving

The main contribution of this paper is experimental validation of a system architecture for providing real time communication of individualized Traffic Signal Phase and Timing (SPaT) data from disparate data sources, tailored to meet the needs of an in-vehicle driver assistance systems. The role of data collected directly from Traffic Management Centers is explored; in addition, the collection and condensation of crowdsourced SPaT data sources is investigated as a complementary solution in situations where timing information is not available directly from a city's Traffic Management Center (TMC). In order to evaluate the effectiveness of communicating the traffic signal state to the in-vehicle driver assistance systems, on-road experiments were carried out by a number of drivers interacting with an implemented in-vehicle speed advisory application in mixed traffic on arterial roads in the city of San Jose, CA. The experiments show that on average a 9.5% decrease in fuel usage is possible if accurate SPaT data is available. We also experimentally evaluated the accuracy of the crowdsourcing algorithm in the city of San Francisco, CA.

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