PROJECT TITLE

Intelligent Parking Guidance System Based on Connected Vehicle Sensor Networks

PRIMARY INVESTIGATOR

Romesh Saigal, PhD
Professor, Industrial and Operations Engineering, U-M College of Engineering

PROJECT DATES

June 2015 – May 2017

PROJECT TEAM

Robert Hampshire, PhD
Assistant Research Professor, Human Factors Group, U-M Transportation Research Institute

OBJECTIVE

This research proposes an Intelligent Parking Guidance (IPG) System that will utilize existing sensors embedded on connected/automated vehicles to collect real-time parking availability information both during driving and while parked. A minimum infrastructure upgrade is proposed.

APPROACH

Three stages of study will be conducted in this project. First stage is to design a hierarchical control system for both on-street parking and closed parking garage scenarios through computer-based simulations. Second stage is to test this system in a closed garage to validate its practicability. The final stage is to deploy this system on the MTC connected vehicle testing platform in the city of Ann Arbor (Pillar 1 or Pillar 3).

OUTCOME

Design of a connected/automated vehicle technology based intelligent parking guidance (IPG) system validated through simulations and field tests, enabling the use of on-vehicle sensors to send feedback to the IPG system thus creating value for stakeholders.


CATEGORY: PARKING
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