Developing an Optimal Intersection Control System for Automated Connected Vehicles

Bichiou, Youssef; Rakha, Hesham A.

doi:10.1109/tits.2018.2850335

Cited by 119 publications

(66 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[15] developed a mixed tra c speed harmonization model with connected autonomous vehicles and conducted sensitivity analysis and multi-lance scenario test. Bichiou and Rakha [16] transferred the best vehicle speed problem at an intersection into a constrained optimal problem. Lee and Park [17] proposed a connected-vehicle sensing algorithm for an intersection based on vehicle-to-infrastructure (V2I) technology.…”

Section: Introductionmentioning

confidence: 99%

Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

Fang

Yang

Wang

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

Traffic lights force vehicles to stop frequently at signalized intersections, which leads to excessive fuel consumption, higher emissions, and travel delays. To address these issues, this study develops a trajectory planning method for mixed vehicles at signalized intersections. First, we use the intelligent driver car-following model to analyze the string stability of traffic flow upstream of the intersection. Second, we propose a mixed-vehicle trajectory planning method based on a trigonometric model that considers prefixed traffic signals. The proposed method employs the proportional-integral-derivative (PID) model controller to simulate the trajectory when connected vehicles (equipped with internet access) follow the optimal advisory speed. Essentially, only connected vehicle trajectories need to be controlled because normal vehicles simply follow the connected vehicles according to the Intelligent Driver Model (IDM). The IDM model aims to minimize traffic oscillation and ensure that all vehicles pass the signalized intersection without stopping. The results of a MATLAB simulation indicate that the proposed method can reduce fuel consumption and NOx, HC, CO2, and CO concentrations by 17%, 22.8%, 17.8%, 17%, and 16.9% respectively when the connected vehicle market penetration is 50 percent.

show abstract

Section: Introductionmentioning

confidence: 99%

Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

Fang

Yang

Wang

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…Other efforts have also considered improving fuel efficiency in the coordination problem. Bichio and Rakha [12] demonstrated an improvement in fuel efficiency of CAVs by jointly minimizing the travel time and control efforts for M ∈ N closest CAVs to the intersection; however, the proposed method is not real-time implementable (e.g., 2-5 minutes for M = 4).…”

Section: A Related Workmentioning

confidence: 99%

“…First, rather than investigating intersections in isolation [16], [27], [33], [34], we propose a decentralized framework by considering the effects of intersections' interdependence methodically. Second, we ensure the lateral safety through a decentralized upper-level planning, as opposed to a strict FIFO queuing policy [12], [27], [30], [31], or a centralized controller [8], [9], [14], [23], [36]- [39]. Third, in contrast to the research efforts reported in the literature to date, in the upper-level planning, we allow lane-changing maneuvers.…”

Section: Comparison With Related Workmentioning

confidence: 99%

“…, ∞] to be the smallest time satisfying lateral safety constraints in (12) or (13) (line 5 -14). Case 4: Similarly, for other cases that A l i = ∅, l ∈ L, B z i = ∅ z ∈ Z i , and C i = ∅, the energy-optimal arrival time at the merging zone z ∈…”

Section: Upper-level Planningmentioning

confidence: 99%

“…is the smallest time satisfying the lateral safety constraints in (12) i ∈ L yielding the minimum travel time, i.e., the arrival time at the last merging zone.…”

Section: Upper-level Planningmentioning

confidence: 99%

See 2 more Smart Citations

An Optimal Coordination Framework for Connected and Automated Vehicles in two Interconnected Intersections

Chalaki

Malikopoulos

2019

2019 IEEE Conference on Control Technology and Applications (CCTA)

View full text Add to dashboard Cite

In this paper, we provide a decentralized optimal control framework for coordinating connected and automated vehicles (CAVs) in two interconnected intersections. We formulate a control problem and provide a solution that can be implemented in real time. The solution yields the optimal acceleration/deceleration of each CAV under the safety constraint at "conflict zones," where there is a chance of potential collision. Our objective is to minimize travel time for each CAV. If no such solution exists, then each CAV solves an energy-optimal control problem. We evaluate the effectiveness of the efficiency of the proposed framework through simulation.

show abstract

Adaptive fixed‐time prescribed performance control of vehicular platoons with unknown dead‐zone and actuator saturation

Gao

Zhang

Guo

2022

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This article focuses on the problem of fixed‐time prescribed performance platoon control for heterogeneous vehicles with unknown dead‐zone and actuator saturation. First, an equivalent transformation is developed to approximate the actuator nonlinearity (i.e., dead‐zone and saturation), which reduces the complexity of controller design. Then, to guarantee the tracking errors converge to the predetermined region in the given time, a modified prescribed performance function is presented. Based on this, a novel adaptive sliding mode control scheme is developed in the context of fixed‐time theory, which is proved to be capable of ensuring individual vehicle stability and string stability in fixed time. In addition, under the proposed control scheme, the convergence time is independent of initial conditions of the system. Finally, numerical simulations are carried out to demonstrate the effectiveness of the proposed control scheme.

show abstract

Developing an Optimal Intersection Control System for Automated Connected Vehicles

Cited by 119 publications

References 18 publications

Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

An Optimal Coordination Framework for Connected and Automated Vehicles in two Interconnected Intersections

Adaptive fixed‐time prescribed performance control of vehicular platoons with unknown dead‐zone and actuator saturation

Contact Info

Product

Resources

About