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Data Rate based Congestion Control in V2V communication for traffic safety applications
TLDR
This paper analyzes a congestion control scheme that follows the Decentralized Congestion Control framework known as Data Rate-D CC (DR-DCC) for various traffic densities, which outperforms at various traffic density cases providing better support to safety applications.
Fair decentralized data-rate congestion control for V2V communications
TLDR
A novel packet-count based decentralized data-rate congestion control algorithm (PDR-DCC) is defined, which enforces fairness and hence improves the application-reliability and compares the performance of PDR-D CC with message-rate (LIMERIC) and data- rate (DR) congestion control algorithms for a stationary vehicle warning application and for various vehicular densities.
An Integrated Simulation Environment for Testing V2X Protocols and Applications
TLDR
An integrated simulation environment that combines three software packages, VISSIM (traffic modelling), MATLAB (tra traffic management applications) and NS3 (communication network simulation) is created, which enables one to visualize whether a traffic management algorithm creates the desired effect and also the efficacy of the communication protocol used.
Design and analysis of control strategies for vehicle platooning
TLDR
Simulation results show that the proposed control algorithm maintains stability and can keep the inter-vehicle gap deviation less than ±6.3% under imperfect communication conditions for a sinusoidal acceleration input between ±2m/s2.
A combined fair decentralized message-rate and data-rate congestion control for V2V communication
TLDR
It is concluded that MD-DCC takes the best of both message-rate and data-rate algorithms, resulting in superior application reliability as well as a dramatic increase in the maximum supported vehicular density.
SAE-DCC Evaluation and Comparison with Message Rate and Data Rate Based Congestion Control Algorithms of V2X Communication
TLDR
A detailed study of the proposed Decentralized Congestion Control (DCC) proposed by the Society of Automotive Engineers International (SAE-DCC), then compared it with Packet count based Data-Rate DCC (PDR-D CC) and message rate based DCC LIMERIC and verified the effectiveness of SAE- DCC.
Modelling of Communication Reliability for Platooning Applications for Intelligent Transport System
TLDR
This paper presents a novel analytical model of communication reliability between platoon members in a channel shared with other vehicles using ITS using a discrete time M/G/1 queue model for occurrence of messages in Poisson distribution and estimates probability of missing packet in consecutive period of transmission.
Co-simulation Framework for Control, Communication and Traffic for Vehicle Platoons
TLDR
This work considers a multi-layer control strategy where the upper-layer uses Model Predictive Control (MPC) at a rate in compliance with 802.11p and the lower- layer uses statefeedback control at a higher sampling rate in line with in-vehicle networking capabilities.
Risk Assessment for Traffic Safety Applications with V2V Communications
  • C. Math, Hong Li, S. Groot
  • Engineering, Computer Science
    IEEE 84th Vehicular Technology Conference (VTC…
  • 1 September 2016
TLDR
A new metric called Effective Risk Factor (ERF), which quantifies the risk at a node for each link, to identify dangers due to poor awareness of their neighbors, is proposed, which captures application risk experienced by nodes effectively compared to other reliability metrics.
An integrated V2X simulator with applications in vehicle platooning
TLDR
This work aims to provide a holistic platform which integrates three simulators VISSIM (Traffic Simulation), NS-3 (Network Simulation) and MATLAB (Platoon control algorithm) that allows testing control algorithm stability in the presence of realistic communication constraints to illustrate the usability of this co-simulation framework.
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