Integrating Driving Simulator Experiment Data with a Multi-agent Connected Automated Vehicles Simulation (Ma-CAVS) Platform to Quantify Improved Capacity

PI: Haizhong Wang (OSU), Haizhong.Wang@oregonstate.edu, ORCID: 0000-0002-0028-3755

Co PIs: none

AMOUNT & MATCH: $26,335 from PacTrans; $26,335 Match

PERFORMANCE PERIOD: 8/16/2018 – 8/15/2020

STATUS: Active

CATEGORIES: Simulation, Connected Vehicles, Capacity

RESEARCH PROJECT HOT SHEET:

UTC PROJECT DOCUMENTATION:

FINAL PROJECT REPORT: will be available once completed

PROJECT DATA: will be available once completed

DESCRIPTION: The goal of this project is to validate existing parameter assumptions of human driver car-following behavior in mixed fleet traffic. Validation for these parameters will be derived from a human factors experiment that utilizes the Oregon State University Driving Simulator. Subjects of the driving simulator experiment will be asked to drive in a limited access highway environment with mixed fleet traffic. CAVs in the simulated environment will be visibly distinguishable from other vehicles in the environment. Kinematic data will be collected from the experiment when the subject is adjacent to or following a CAV. From this data, car-following model parameter values such desired velocities, safe time headways, and minimum following distances can be derived.

Parameters derived from the experiment data will be used to inform an agent-based car-following simulation. Results from the simulation will be used to evaluate the validity of existing car-following models with varying market penetrations of CAVs, as well as the validity of model parameter assumptions. The new agent-based car-following simulation will also be used to evaluate the capacity performances of different roadway configurations, such as the effect of separating human drivers from CAVs by lane on limited access highways. The project has the potential to develop capacity adjustments and recommendations for resources such as the HCM.

DELIVERABLE DUE DATE DATE RECEIVED
Research Project Progress Report #1 4/10/2019 N/A
Research Project Progress Report #2 10/10/2019 10/14/2019
Research Project Progress Report #3 4/10/2020
No Cost Extension Request 6/15/2020
Draft Report 6/15/2020
Final Project Report 8/15/2020