Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications

IET Intelligent Trans Sys

Alnuweiri

et al. 2023

Self Cite

Developing safety and efficiency applications for Connected and Automated Vehicles (CAVs) requires a great deal of testing and evaluation. The need for the operation of these systems in critical and dangerous situations makes the burden of their evaluation very costly, possibly dangerous, and time‐consuming. As an alternative, researchers attempt to study and evaluate their algorithms and designs using simulation platforms. Modeling the behavior of drivers or human operators in CAVs or other vehicles interacting with them is one of the main challenges of such simulations. While developing a perfect model for human behavior is a challenging task and an open problem, a significant augmentation of the current models used in simulators for driver behavior is presented. In this paper, a simulation framework for a hybrid transportation system is presented that includes both human‐driven and automated vehicles. In addition, the human driving task is decomposed and a modular approach is offered to simulate a large‐scale traffic scenario, allowing for a thorough investigation of automated and active safety systems. Such representation through Interconnected modules offers a human‐interpretable system that can be tuned to represent different classes of drivers. Additionally, a large driving dataset is analyzed to extract expressive parameters that would best describe different driving characteristics. Finally, a similarly dense traffic scenario is recreated within the simulator and a thorough analysis of various human‐specific and system‐specific factors is conducted, studying their effect on traffic network performance and safety.

Section: Effect Of Communication Layersmentioning

confidence: 99%

Augmented driver behavior models for high‐fidelity simulation study of crash detection algorithms

Jami

IET Intelligent Trans Sys

Alnuweiri

et al. 2023

Self Cite

“…The backbone of distributed Multi-Agent Systems (MASs) is information exchange to create situational awareness. Excessive use of communication resources may lead to communication congestion, resulting in increased packet loss, high latency, and low throughput, all of which will inevitably degrade system stability, performance, and reliability [8]- [10]. Thus, a well- Model-Based Communication (MBC) is a recent and innovative solution for managing communication scalability that has shown potential in reducing channel overload [11].…”

Section: Introductionmentioning

confidence: 99%

Predictive Model-Based and Control-Aware Communication Strategies for Cooperative Adaptive Cruise Control

IEEE Open J. Intell. Transp. Syst.

Valiente

Zaman

et al. 2023

Self Cite

Utilizing Vehicle-to-everything (V2X) communication technologies, vehicle platooning systems are expected to realize a new paradigm of cooperative driving with higher levels of traffic safety and efficiency. Connected and Autonomous Vehicles (CAVs) need to have proper awareness of the traffic context. The cooperative platoon's performance will be influenced by the communication strategy. In particular, time-triggered or event-triggered are of interest here. The expenses related to communication will increase significantly as the number of connected entities increases. Periodic communication can be relaxed to more flexible aperiodic or event-triggered implementations while maintaining desired levels of performance. This paper proposes a predictive model-based and control-aware communication solution for vehicle platoons. The method uses a fully distributed Event-Triggered Communication (ETC) strategy combined with Model-Based Communication (MBC) and aims to minimize communication resource usage while preserving desired closed-loop performance characteristics. In our method, each vehicle runs a remote vehicle state estimator based on the most recently communicated model and the event-driven communication scheme only updates the model when the performance metric error exceeds a certain threshold. Our approach achieves a significant reduction in the average communication rate (82%) while only slightly reducing control performance (e.g., less than 1% speed deviation).

“…But it is often more appropriate to conduct the advanced applications through context-aware messages. The set of advanced use cases laid out by 5GAA [3] such as awareness confirmation, vehicle decision assist, coordinated cooperative driving manoeuvre [4], HD map sharing [5] and so forth describes scenarios where context-specific messages can achieve the mission with higher accuracy, replacing the need for BSM transmission for such purposes. While interoperability between these services require standardization, the specific application and method design are still under research and development.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of V2I Zone Activation and Scalability for C-V2X Transactional Services

Zaman

Saifuddin

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

et al. 2022

Cellular Vehicle-to-Everything (C-V2X) is a frontier in the evolution of distributed communication introduced in 3GPP release 14 to advanced use cases. While research efforts continue to optimize the accessible bandwidth for transportation ecosystem, a bottom up analysis from the application layer perspective is necessary prior to deployment, as it can expose potential issues that can emerge in a dynamic road environment. This emphasizes on assessing the network using applicationoriented metrics to evaluate its capacity of providing advanced vehicular services with stringent latency and throughput requirements. C-V2X enables advanced applications like autonomous driving and on-the-go transaction services where consecutive exchange of messages is required. For such services, the network level metrics fails to capture the edge case service quality as they express an average measure of performance. In this paper, we present an application-oriented analysis of a transaction service built on C-V2X protocol. We analyze different design choices that affects quality of service both from network-oriented and user-centric metrics and we highlight the issues regarding packet dissemination from infrastructures for vehicle-to-infrastructure (V2I) based service applications. We also present our study on the impact of batching in disseminating acknowledgement packets (ACK) and its consequence on both the service reliability and network congestion. Our results show that time-sensitive and mission-sensitive vehicular applications should aim for a balance between achieving the mission utility in shortest duration possible, while keeping minimal impact on the system-wide stability.