Cost Benefit Analysis of an Infrastructure-Vehicle Cooperative Perception System

Principal Investigator(s):

Yiheng Feng, Assistant Professor of Civil Engineering – Purdue University
Ziran Wang, Assistant Professor of Civil Engineering – Purdue University
Andrew Tarko, Professor of Civil Engineering – Purdue University
Director – Center for Road Safety (CRS)

Project Abstract:
In this project, we propose to apply an infrastructure-vehicle cooperative perception system to evaluate its potential benefits for safety, mobility, and environment. The system consists of one portable infrastructure Lidar detection system and two connected and automated vehicles (CAVs). The system will be deployed on different types of roads (e.g., signalized intersection, highway segment, roundabout, and pedestrian crosswalk) and under various traffic conditions. Cooperative perception data will be collected with various sensors in different configurations and coordination. Data from multiple sources will be synchronized and fused to generate detection results. Based on the processed data, we will analyze the benefit of the cooperative system from safety (e.g., reduced traffic crashes and conflicts), mobility (e.g., improved intersection operation efficiency), and environment (e.g., reduced fuel consumption and emission) perspectives. The deployment costs will also be estimated.

Institution(s): Purdue University

Award Year: 2024

Research Focus: Safety, Mobility

Project Form(s):