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Related Experiment Video

Updated: Mar 24, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Understanding congested travel in urban areas.

Serdar Çolak¹, Antonio Lima^1,2, Marta C González^1,3

¹Department of Civil and Environmental Engineering, MIT, Cambridge, Massachusetts 02139, USA.

Nature Communications

|March 16, 2016

Summary

Urban traffic congestion can be predicted by a simple ratio of road supply to travel demand. Centralized routing strategies can significantly reduce collective travel time, even with moderate consideration for social good.

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Area of Science:

Urban planning
Transportation engineering
Network science

Background:

Urbanization and increased vehicle numbers strain road infrastructure, leading to traffic congestion.
Existing strategies for congestion management focus on demand or capacity, but limits of route choice modification are understudied.

Purpose of the Study:

To systematically analyze urban traffic congestion by linking city road networks with travel demand data.
To identify key factors influencing congestion levels and evaluate potential alleviation strategies.

Main Methods:

Coupled road networks of five diverse cities with travel demand data from billions of mobile phone traces.
Analyzed morning peak hour traffic patterns to understand congestion dynamics.
Developed and tested a centralized routing scheme with varying social good awareness.

Main Results:

A dimensionless ratio of road supply to travel demand effectively explains the percentage of time lost due to congestion.
Centralized routing schemes demonstrated significant potential for congestion relief.
Moderate levels of social good awareness in routing were sufficient to achieve substantial collective travel time savings.

Conclusions:

The road supply-to-demand ratio is a critical metric for understanding and predicting urban congestion.
Optimized routing strategies, considering social welfare, offer a viable path to mitigate traffic congestion.
Further research into intelligent transportation systems and behavioral economics can enhance urban mobility.