Coordination strategy for vehicles passing multiple signalized intersections: A connected vehicle penetration rate study

Du, Zongliang; HomChaudhuri, Baisravan; Pisu, Pierluigi

doi:10.23919/acc.2017.7963722

Cited by 21 publications

(17 citation statements)

References 16 publications

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“…Specifically, vehicles that receive signal phase and timing information from traffic lights can plan their trajectories to avoid stopping at red lights. This approach has been studied in [13], [14], [15], [16], [17], [18], and has shown promising fuel economy and throughput improvements. The idea consists of translating signal phase and timing (SPAT) information into constraints for a model-predictive trajectory optimization problem that seeks to reduce fuel consumption.…”

Section: A Literature Reviewmentioning

confidence: 99%

Distributed Kuramoto Self-Synchronization of Vehicle Speed Trajectories in Traffic Networks

Rodriguez,

Fathy

2020

Preprint

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This paper presents a distributed synchronization strategy for connected and automated vehicles in traffic networks. The strategy considers vehicles traveling from one intersection to the next as waves. The phase angle and frequency of each wave map to its position and velocity, respectively. The goal is to synchronize traffic such that intersecting traffic waves are out of phase at every intersection. This ensures the safe collective navigation of intersections. Vehicles share their phase angles through the V2X infrastructure, and synchronize these angles using the Kuramoto equation. This is a classical model for the self-synchronization of coupled oscillators. The mapping between phase and location for vehicles on different roads is designed such that Kuramoto synchronization ensures safe intersection navigation. Each vehicle uses a constrained optimal control policy to achieve its desired target Kuramoto phase at the upcoming intersection. The overall outcome is a distributed traffic synchronization algorithm that simultaneously tackles two challenges traditionally addressed independently, namely: coordinating crossing at an individual intersection, and harmonizing traffic flow between adjacent intersections. Simulation studies highlight the positive impact of this strategy on fuel consumption and traffic delay time, compared to a network with traditional traffic light timing.

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Section: A Literature Reviewmentioning

confidence: 99%

Distributed Kuramoto Self-Synchronization of Vehicle Speed Trajectories in Traffic Networks

Rodriguez,

Fathy

2020

Preprint

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“…Other related works dealt with optimizing multiple signalized intersections in CAV environment. Du et al [37] introduced a hierarchical control architecture to coordinate connected vehicles through multiple signalized intersections. The simulation results demonstrated improving vehicle fuel economy based on different market penetration rates.…”

Section: Literature Reviewmentioning

confidence: 99%

Next-Generation Interchange Control Based on Centralized Management of Connected and Autonomous Vehicles

Algomaiah

2019

IEEE Access

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With the rapid advancement of connected and autonomous vehicles (CAV) in terms of testing and usage, the implementation of the autonomous interchange in the real world has become more realistic than before. Since the beginning of the last decade, the concept of autonomous intersection has been developed with slightly different techniques. This paper introduces a next-generation interchange control algorithm (NIC) that deals with service interchange terminals for the CAV with the ability to adjust the dimensions and geometric designs. It proposes six different geometric designs that have been modeled in a simulation software package (VISSIM) to employ the NIC algorithm. The system depicted a real-world scenario of an interchange with a slight modification on the geometric design to provide smoother entry to the interchange terminal. The analysis of the proposed designs in terms of throughput, capacity, delay, and volume-to-capacity (V/C) ratio indicated different performance measurements based on the analyzed traffic movements. Tight turn with one left dedicated turn provided the highest performance, while wide turn with two left shared turns indicated the lowest performance. Both NIC designs demonstrated significantly higher throughputs and significantly lower delays compared to a current traffic signal system. By applying the NIC with the existence of the CAV, the operation of highway interchange can be significantly improved. INDEX TERMS Autonomous vehicles, interchange traffic management, centralized control, reservationbased system, connected vehicles.

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“…The coordination can be carried out on the level of network, e.g., in [18] a coordination strategy is applied for public transport services. Another hot topic is the coordination of vehicles and transportation systems in intersection scenarios, where the effectiveness of the operation through optimal coordination of interventions can be achieved [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…The reward Function (19) shows that its maximum value might be zero, if all of the quadratic terms have zero value. Nevertheless, zero is a theoretical maximum, because it is not possible to reduce to zero all performances a the same time.…”

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confidence: 99%

Coordination of Lateral Vehicle Control Systems Using Learning-Based Strategies

Németh

2021

Energies

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The paper proposes a novel learning-based coordination strategy for lateral control systems of automated vehicles. The motivation of the research is to improve the performance level of the coordinated system compared to the conventional model-based reconfigurable solutions. During vehicle maneuvers, the coordinated control system provides torque vectoring and front-wheel steering angle in order to guarantee the various lateral dynamical performances. The performance specifications are guaranteed on two levels, i.e., primary performances are guaranteed by Linear Parameter Varying (LPV) controllers, while secondary performances (e.g., economy and comfort) are maintained by a reinforcement-learning-based (RL) controller. The coordination of the control systems is carried out by a supervisor. The effectiveness of the proposed coordinated control system is illustrated through high velocity vehicle maneuvers.

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Coordination strategy for vehicles passing multiple signalized intersections: A connected vehicle penetration rate study

Cited by 21 publications

References 16 publications

Distributed Kuramoto Self-Synchronization of Vehicle Speed Trajectories in Traffic Networks

Distributed Kuramoto Self-Synchronization of Vehicle Speed Trajectories in Traffic Networks

Next-Generation Interchange Control Based on Centralized Management of Connected and Autonomous Vehicles

Coordination of Lateral Vehicle Control Systems Using Learning-Based Strategies

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