Building an Effective Smart Traffic Demand Management System in a Constrained Environment: A Design Thinking Approach

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Abstract/Contents

Abstract: This study aims to assess the feasibility of building a smart cost-effective traffic management system using commercially available components. The benefits of these systems are not limited to traffic congestion reduction but also the employment of economic incentives that may change commuters’ patterns and behaviors. Based on the literature, the existing traffic management systems require costly roadside infrastructure changes. Therefore, a need has surfaced to create a cost-effective solution based on the intersection between technical feasibility, business viability, and public policy initiatives. The current study presents a prototype testing of the proposed system applied in Stanford Campus. These smart traffic demand management (TDM) systems can be applied in both private and public sectors through policy changes that foster efficient use of the existing infrastructure while creating an opportunity for revenue stream. The use of bidding and tradable token systems will allow ride-sharing, shipping companies, and individuals to access certain roads during times with high traffic demands. Finally, the study lists a set of recommendations, best practices, and a novel passenger routing scheme to adopt for the Los Angeles City council in order to address the anticipated traffic congestion associated with AVs when hosting the summer Olympic games in 2028.

Subject	Congestion pricing
Subject	Automatic License Plate Recognition
Subject	Road virtual currency
Subject	Auction-based road access
Subject	Autonomous vehicles
Genre	Text
Genre	Thesis

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License: This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation: Fakhry, M. and Ostrovsky, M. (2021). Building an Effective Smart Traffic Demand Management System in a Constrained Environment: A Design Thinking Approach. Stanford Digital Repository. Available at https://purl.stanford.edu/zm498fc4744

Stanford University, Public Policy Program, Masters Theses and Practicum Projects

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