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Connected autonomous vehicles (CAVs) can supplement the information from their own sensors with information from surrounding CAVs for decision making and control. This has the potential to improve traffic efficiency. CAVs face additional…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-13 Mohit Garg , Cian Johnston , Mélanie Bouroche

Intersections are the bottlenecks of the urban road system because an intersection's capacity is only a fraction of the flows that the roads connecting to the intersection can carry. This capacity can be increased if vehicles can cross the…

Dynamical Systems · Mathematics 2017-02-02 Jennie Lioris , Ramtin Pedarsani , Fatma Yildiz Tascikaraoglu , Pravin Varaiya

The proliferation of connected and automated vehicles (CAVs) has positioned mixed traffic environments, which encompass both CAVs and human driven vehicles (HDVs), as critical components of emerging mobility systems. Signalized…

Systems and Control · Electrical Eng. & Systems 2025-04-08 Filippos N. Tzortzoglou , Logan E. Beaver , Andreas A. Malikopoulos

This paper addresses the optimal control of Connected and Automated Vehicles (CAVs) arriving from two roads at a merging point where the objective is to jointly minimize the travel time and energy consumption of each CAV. The solution…

Systems and Control · Computer Science 2018-11-28 Wei Xiao , Christos G. Cassandras

The rapid development of cyber-physical systems is driving a transition toward mixed traffic environments comprising both human-driven and connected and automated vehicles (CAVs). This shift presents a unique opportunity to leverage the…

Systems and Control · Electrical Eng. & Systems 2026-04-16 Filippos N. Tzortzoglou , Pengbo Zhu , Andreas A. Malikopoulos

Connected and Autonomous Vehicles (CAVs) technology facilitates the advancement of intelligent transportation. However, intelligent control techniques for mixed traffic flow at signalized intersections involving both CAVs and Human-Driven…

Applied Physics · Physics 2024-05-08 Binghao Feng , Hui Guo , Minghui Ma , Yuepeng Wu , Shidong Liang , Yansong Wang

Urban traffic congestion is a chronic problem faced by many cities. It is essentially inefficient infrastructure use which results in increased vehicle fuel consumption and emissions. This in turn adds extra costs to commuters and…

Systems and Control · Electrical Eng. & Systems 2020-08-12 Youssef Bichiou , Hesham A. Rakha , Hossam Abdelghaffar

In the freeway network control (FNC) problem, the operation of a traffic network is optimized using only flow control. For special cases of the FNC problem, in particular the case when all merging flows are controlled, there exist tight…

Optimization and Control · Mathematics 2018-03-30 Marius Schmitt , John Lygeros

Several approaches have been proposed in the literature that allow connected and automated vehicles (CAVs) to coordinate in areas where there is a potential conflict, for example, in intersections, merging at roadways and roundabouts. In…

Optimization and Control · Mathematics 2020-03-13 A M Ishtiaque Mahbub , Andreas A. Malikopoulos , Liuhui Zhao

The effective and safe management of traffic is a key issue due to the rapid advancement of the urban transportation system. Connected autonomous vehicles (CAVs) possess the capability to connect with each other and adjacent infrastructure,…

Systems and Control · Electrical Eng. & Systems 2025-11-10 Rudra Sen , Subashish Datta

The problem of maximizing the probability of two trucks being coordinated to merge into a platoon on a highway is considered. Truck platooning is a promising technology that allows heavy vehicles to save fuel by driving with small…

Systems and Control · Computer Science 2017-05-12 Sebastian van de Hoef , Karl H. Johansson , Dimos V. Dimarogonas

In general, there are two kinds of cooperative driving strategies, planning based strategy and ad hoc negotiation based strategy, for connected and automated vehicles (CAVs) merging problems. The planning based strategy aims to find the…

Systems and Control · Computer Science 2018-04-05 Huile Xu , Shuo Feng , Yi Zhang , Li Li

Connected and autonomous vehicles (CAVs) possess the capability of perception and information broadcasting with other CAVs and connected intersections. Additionally, they exhibit computational abilities and can be controlled strategically,…

Computational Engineering, Finance, and Science · Computer Science 2024-07-23 Maziar Zamanpour , Suiyi He , Michael W. Levin , Zongxuan Sun

The integration of autonomous vehicles (AVs) into the existing transportation infrastructure offers a promising solution to alleviate congestion and enhance mobility. This research explores a novel approach to traffic optimization by…

Multiagent Systems · Computer Science 2025-05-13 Lu Liu , Maonan Wang , Man-On Pun , Xi Xiong

Autonomy and connectivity are considered among the most promising technologies to improve safety, mobility, fuel and time consumption in transportation systems. Some of the fuel efficiency benefits of connected and automated vehicles (CAVs)…

Robotics · Computer Science 2020-01-24 Xiangguo Liu , Guangchen Zhao , Neda Masoud , Qi Zhu

Connected vehicles will change the modes of future transportation management and organization, especially at an intersection without traffic light. Centralized coordination methods globally coordinate vehicles approaching the intersection…

Robotics · Computer Science 2021-03-12 Yang Guan , Yangang Ren , Shengbo Eben Li , Qi Sun , Laiquan Luo , Keqiang Li

We study the ability of autonomous vehicles to improve the throughput of a bottleneck using a fully decentralized control scheme in a mixed autonomy setting. We consider the problem of improving the throughput of a scaled model of the San…

Systems and Control · Electrical Eng. & Systems 2020-11-03 Eugene Vinitsky , Nathan Lichtle , Kanaad Parvate , Alexandre Bayen

Ramp merging is a critical maneuver for road safety and traffic efficiency. Most of the current automated driving systems developed by multiple automobile manufacturers and suppliers are typically limited to restricted access freeways only.…

Artificial Intelligence · Computer Science 2018-03-28 Pin Wang , Ching-Yao Chan

Cooperative maneuver planning promises to significantly improve traffic efficiency at unsignalized intersections by leveraging connected automated vehicles. Previous works on this topic have been mostly developed for completely automated…

Robotics · Computer Science 2026-02-03 Marvin Klimke , Max Bastian Mertens , Benjamin Völz , Michael Buchholz

In this note, we propose a case study of freeway traffic flow modeled as a hybrid system. We describe two general classes of networks that model flow along a freeway with merging onramps. The admission rate of traffic flow from each onramp…

Systems and Control · Computer Science 2018-03-02 Samuel Coogan , Murat Arcak
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