PROJECT TITLE

Dynamic Map Update Using Connected Vehicle Data

PROJECT INVESTIGATOR

Henry Liu, PhD
Professor in Civil and Environmental Engineering, and Research Professor, U-M Transportation Institute

PROJECT DATES

June 2016 – December 2017

OBJECTIVE

To develop a system that can utilize connected vehicle (CV) data collected by the roadside equipment (RSE) to automatically and dynamically update the Geometric Intersection Description (GID) map at lane level, in order to support various CV applications and automated vehicle technology.

APPROACH

We will leverage our experience from a recent research project funded by Crash Avoidance Metrics Partnership (CAMP) titled “Automatic Intersection Map Generation” to develop estimation algorithms to dynamically detect temporary lane closure and modification, and to dynamically update the GID map.  A statistical approach will be developed to monitor lane occupancies and traffic speeds, and detect abnormal traffic patterns, and then estimate traffic lane closures and modification.  The estimation algorithm will be integrated in the Connected Vehicle based Controller Interface Device (CV-CID) developed by the project team to interface with RSEs.  A central software will also be developed and deployed in the MTC traffic management center to visualize dynamic map and related information of incidents, e.g. accident, game event, or road work.

OUTCOMES

In this project a three-layer system was developed. This dynamic system automatically updates  MAP message using basic safety messages received by the roadside equipment. Each layer updates a different  aspect of the MAP such as intersection geometry, one closures, and traffic incidents. A Matlab computer program integrates the three layers to ultimately increase safety and advance existing systems.


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