01660541

Component

https://doi.org/10.1177/0361198118796927

https://doi.org/10.1177/0361198118796927

This paper proposes a theoretical framework to control a platoon of connected and autonomous vehicles (CAVs) in the presence of cut-in movements. The control method is developed based on the spring–mass–damper (SMD) system concept and aims to improve the platoon efficiency and stability after a cut-in movement (e.g., lane change and merging from on-ramp). The method seeks to resolve a disturbance created by a cut-in vehicle by systematically setting two control parameters, spring constant and damping coefficient, of the SMD-based control model based on the prevailing traffic conditions. The control method is evaluated through a simulation based on the changes in speed and spacing, recovery time to reach the desired speed, disturbance propagation, and platoon flow. The simulation result shows that the control method can effectively reduce the disturbance caused by a cut-in movement and improve platoon flow.

18-04291

English

pp 133-143

2018

Transportation Research Record: Journal of the Transportation Research Board

Print

Figures (8) ; References (23) ; Tables (1)

Connected vehicles; Intelligent vehicles; Lane changing; Merging traffic; Simulation; Traffic flow; Traffic platooning

Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

TRIS, TRB, ATRI

Jan 8 2018 11:03AM

• A Macroscopic Multi-Lane Traffic Flow Model for ACC/CACC Traffic Dynamics
• A New Control Strategy Integrated into the Desired Safety Margin Car-Following Model Considering the Disturbance Level
• A Platooning Strategy for Automated Vehicles in the Presence of Speed Limit Fluctuations
• A Simple Example of a Two-Dimensional Model for Traffic: Discussion about Assumptions and Numerical Methods
• Application of a Discontinuous Form of Macroscopic Gazis–Herman–Rothery Model to Steady-State Freeway Traffic Stream Observations
• Evaluating Recurring Traffic Congestion using Change Point Regression and Random Variation Markov Structured Model
• Extended Desired Safety Margin Car-Following Model That Considers Variation of Historical Perceived Risk and Acceptable Risk
• Improved Numerical Method for Aw-Rascle Type Continuum Traffic Flow Models
• Introducing a Re-Sampling Methodology for the Estimation of Empirical Macroscopic Fundamental Diagrams
• Investigating Transfer Flow between Urban Networks Based on a Macroscopic Fundamental Diagram
• Model for Planning and Sizing Curbside Parking Lanes in Urban Networks
• Modeling and Evaluating Traffic Flow at Sag Curves When Imposing Variable Speed Limits on Connected Vehicles
• Modeling Driver Merging Behavior: A Repeated Game Theoretical Approach
• Multi-Thread Optimization for the Calibration of Microscopic Traffic Simulation Model
• Off-Ramp Coupling Conditions Devoid of Spurious Blocking and Re-Routing
• Optimizing Transit Signal Priority Implementation along an Arterial
• Perimeter Control as an Alternative to Dedicated Bus Lanes: A Case Study
• Real-Time Estimation of Lane Change Risks Based on the Analysis of Individual Vehicle Interactions
• Resurrecting the Lost Vehicle Trajectories of Treiterer and Myers with New Insights into a Controversial Hysteresis
• Some Indications on How to Calibrate the Social Force Model of Pedestrian Dynamics
• Traffic Flow of Merging Pedestrian Crowds: How Architectural Design Affects Collective Movement Efficiency
• Traffic Shockwave Detection in a Connected Environment using the Speed Distribution of Individual Vehicles