InFusion: Performance improvements of traffic controllers by means of data fusion and analysis

Traffic signal controlled intersections currently receive data from various sensors including inductive loops cameras microwave and infrared technologies. These technologies measure presence and passage of vehicles at fixed locations on the intersection approaches. The emergence of IntelliDriveSM will empower intersection control algorithms with rich information from DSRC equipped vehicles. In this new environment we will receive traditional loop data SPAT messages from road side equipment and “here-i-am” basic safety messages from aftermarket or OEM vehicles. These new sources of information necessitate the development of a common framework to integrate data into messages that are meaningful to intersection control equipment and adaptive signal systems. Through recent research in Arizona the E-IntelliDriveSM program has demonstrated the capability of a DSRC enabled roadside unit to interact with equipped emergency vehicles to receive signal priority requests and provide intelligent signal control decisions. This proposal will focus on amalgamation of all the SAE J2735 DSRC messages into a well-defined interface with actuated signal controller logic. We focus on improving signal transition logic improvements as per NCHRP 3-66 and improve arterial performance measures using NCHRP 3-79 findings as well as integrating with the existing E-IntelliDriveSM success into a product that enhances mobility safety and the environment.