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Research Projects

STATUS: In Progress YEAR: 2019 TOPIC AREA: Sustainability, energy, and health Vehicles and infrastructure CENTER: NCST

Congestion Reduction via Personalized Incentives

Project Summary

Funding Source: Caltrans

Funding Amount: $99,996

Start and End Dates: January 1, 2020 to December 31, 2020


Project Description

The purpose of this research is to develop real-time algorithms to reduce traffic congestion and improve routing efficiency via offering personalized incentives to drivers. The incentives and alternative routes should be chosen smartly in order to maximize the probability of acceptance by the driver and to avoid the creation of new congestion in other areas of the network. To this end, the research team proposes to exploit the wide accessibility of smart communication devices and develop a real-time look-ahead incentive-offering mechanism using individuals' routing and aggregate traffic information. The proposed approach relies on historical data and state-of-the-art traffic prediction methodologies to continually predict congestion and traffic flow of the network. Using this prediction and based on individual preferences, the central controller offers personalized incentives to drivers with the goal of reducing the probability of congestion. The decisions about incentives are made via solving a series of carefully designed large scale stochastic optimization problems. The performance of the proposed algorithms will be evaluated using data from the Los Angeles area.


Meisam Razaviyayn
Assistant Professor Industrial and Systems Engineering, Computer Science, Electrical Engineering
Olin Hall of Engineering, OHE 310G
3650 McClintock AveLos Angeles, CA 90089-0193
United States
[email protected]


Maged Dessouky
Dean's Professor and Chair, Daniel J. Epstein Department of Industrial and Systems Engineering
3715 McClintock Ave.
Ethel Percy Andrus Gerontology Center (GER) 206ALos Angeles, CA 90089-0193
United States
[email protected]