Technical Papers
Oct 27, 2022

Optimal Controller for a Roundabout with Cooperative Optimization

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 1

Abstract

This paper proposes a roundabout controller that operates in a connected and automated vehicle (CAV) environment. The proposed controller bears the following features: (1) improves the mobility and capacity of roundabouts, (2) has the potential for real-world implementation, and (3) is easy to upgrade for partially connected and automated traffic. The proposed controller is evaluated against a conventional roundabout controller to quantify its performance. The results show that the proposed controller is able to improve throughput by approximately 14% and reduce delays ranging from 66% to 94%. The computational time of the proposed controller was demonstrated to be constantly less than 0.02 s across all traffic demands. This confirms the potential of the proposed controller for real-world application.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This paper is partially supported by Shanghai Municipal Science and Technology Major Project 2021SHZDZX0100, National Natural Science Foundation of China (Grant No. 61803284), Shanghai Oriental Scholar (2018), Tongji Zhongte Chair Professor Foundataion (No. 000000375-2018082), National Key R&D Program of China (No. 2018YFB1600600), and the Fundamental Research Funds for the Central Universities.

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 149Issue 1January 2023

History

Received: Dec 8, 2021
Accepted: Aug 14, 2022
Published online: Oct 27, 2022
Published in print: Jan 1, 2023
Discussion open until: Mar 27, 2023

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Authors

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Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of South Florida, 4202 E Fowler Ave., ENC 3300, Tampa, FL 33620; Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI 53706. Email: [email protected]; [email protected]
Professor, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China (corresponding author). ORCID: https://orcid.org/0000-0002-0900-7992. Email: [email protected]
Graduate Research Assistant, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]
Chengyuan Ma [email protected]
Graduate Research Assistant, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]
Xiaoguang Yang [email protected]
Professor, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]

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Cited by

  • Prediction-Aware and Reinforcement Learning-Based Altruistic Cooperative Driving, IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2023.3323440, 25, 3, (2450-2465), (2024).
  • A Multi-Phase-Adaptable Bus Lane Sharing Strategy for Vehicles with Various Turning Intentions at Intersections, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 10.1109/ITSC57777.2023.10422137, (4620-4622), (2023).
  • A Critical Scenario Filter to Accelerate Testing for Automated Vehicles, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 10.1109/ITSC57777.2023.10422068, (3058-3060), (2023).

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