AUTC project number: 410024
Jeffrey Miller (UAA)
An Intelligent Transportation System combines communications technology, data, and transportation infrastructure to supply city planners and other decision-makers with information on how and when traffic moves, particularly in an urban area. This project will build on the successes of an ongoing AUTC project, “Assessment of Traffic Congestion in Anchorage Utilizing Vehicle-Tracking Devices and Intelligent Transportation System Technology,” which currently tracks the speed, location, and direction of vehicles in Anchorage, Alaska. Current ITS systems collect only data on speed, location, and a unique (and anonymous) identifier. Additional data can easily be gathered and transmitted to a central server through a vehicle-to-infrastructure (V2I) architecture. The V2I architecture allows data to be transmitted as a text message from individual vehicles through the cellular network to a central server. Using the On Board Diagnostics port of a vehicle will allow data from the vehicle’s computer system to be gathered and transmitted over the V2I network. Although much of this data is specific to the make and model of the vehicle, there are several commonalities, including engine revolutions per minute, fuel consumption, and rate of acceleration/deceleration. Many vehicles also include engine temperature and tire slippage, others include cabin and outside temperatures, and tire pressure and rotation. For vehicles whose computer system does not report tire slippage, custom sensors will be created to identify locations where a vehicle is not able to secure traction easily.
This project will develop four applications for study:
No final report submitted by this project.