Use of Data from CAV for Travel Demand Modeling

Overview

Travel demand modeling is a crucial component of transportation planning and system management. Unfortunately, creating an accurate model of network traffic patterns can be difficult and time consuming. The calibration and validation of travel demand modeling requires the use of extensive datasets that describe the travel characteristics of people in the modeling area. This study investigates the potential use of connected and automated vehicle (CAV) data for both statewide and regional-level modeling. While there are related privacy and data management issues to overcome, the data collected from CAVs holds great promise for supporting travel forecasting modeling, transportation system management and planning.

Operations Area of Practice

    Connected Vehicles
    Systems engineering

Organizational Capability Element

    Vehicle Systems/Connected Vehicles

Content Type

Background Material

Role in Organization

Senior Engineer
Researcher/Academic
Principal Engineer
Manager / First Line Supervisor
Director / Program Manager
CEO / GM / Commissioner
Engineer
Associate Engineer

Publishing Organization

State DOTs

Document Downloads

TOM Chapters
29.5
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Issue Date
Publication Number
MDOT REQ. NO. 1259