Spacing Control of Cooperative Adaptive Cruise Control Vehicle Platoon

Luu, Duc Lich; Lupu, Ciprian; Ismail, L. Sheik; Alshareefi, Hamid

doi:10.1109/aqtr49680.2020.9129997

Cited by 12 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These proposed CF models are designed in such a way as to achieve certain objectives. Depending on various objectives, these models generate the velocity or acceleration profile of a vehicle to optimize specific policy targets including efficiency, safety, string stability, energy consumption, comfort and more [52,[66][67][68][69][70][71][72][73][74][75]. For instance, in a recent study, [66] developed a novel ACC algorithm based on model predictive control (MPC) and active disturbance rejection control (ADRC).…”

Section: Wiedemann Modelmentioning

confidence: 99%

Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art

Sadid

Antoniou

2023

IET Intelligent Trans Sys

View full text Add to dashboard Cite

Microscopic traffic models (MTMs) are widely used for assessing the impacts of (connected) autonomous vehicles ((C)AVs). These models utilize car-following (CF) and lane-changing models to replicate the (C)AVs driving behaviors. Numerous studies are being lately published regarding the approximation of the driving behaviors of (C)AVs (especially CF behavior) with many state-of-the-art modelling methods. Still, there is no established CF model to mimic the accurate behavior of (C)AVs. Researchers often utilize existing mathematical CF models as well as limited data-driven models for (C)AVs modelling. Meanwhile, several studies conduct simulation-based impact assessments with various key performance indicators (KPIs). Identification of these KPIs is a crucial step for future studies. Hence, this paper presents a comprehensive outlook on different CF models with their adopted parameters for (C)AVs modelling and investigates how and in which aspects might the CF behaviors of (C)AVs are different from human-driven vehicles. In addition, the recent publications in data-driven CF models including their methodologies are explicitly discussed. This work also reviews simulation-based studies with the reported impacts and used KPIs. Finally, in light of the findings of this paper, several future research needs are highlighted.

show abstract

Section: Wiedemann Modelmentioning

confidence: 99%

Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art

Sadid

Antoniou

2023

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…Using the CTH policy is getting increasingly popular in a platoon, which is one of the spacing policies used most commonly and it has been mentioned in [2], [19], [20]. Through the CTH policy, the desired inter-car distance between the preceding car and the following car:…”

Section: Controller Design For Leader Vehiclementioning

confidence: 99%

“…In that context, these pressing problems force human to looking for the solutions. Traffic congestion may be minimized by increasing traffic, which may be done by decreasing the spacing between cars [1], [2].…”

Section: Introductionmentioning

confidence: 99%

A Platoon Control Method based on Cooperative Adaptive Cruise Control Vehicles in Traffic Flow

Luu¹,

Pham²,

Nguyen³

et al. 2022

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering

View full text Add to dashboard Cite

The increasing number of vehicles are one of the causes of accidents, exhaust pollution and traffic congestion in urban areas. These pressing problems force human to looking for the approach for a higher car flow on highways in less time and with fewer accidents. In that context, one of the approach growing roadway capacity is to make a car/truck grouping moving in a strings in order to follow short distances between the members of the platoon. This approach ensures the simultaneous deceleration or acceleration of all cars in the string. This work gives a control strategy for Cooperative adaptive cruise control (Cooperative ACC) in a platoon through a performance evaluation by simulations. The main goal of platoon control is to stay the desired spacing from front cars of the string using the constant time headway (CTH) policy while keeping the same velocity with the other cars. The results of the numerical example have demonstrated the effectiveness and applicability of the proposed approach for cars platoon.

show abstract

“…We are the first to exploit the largescale fading property (mainly due to shadowing) as a new modality. It can accommodate typical platooning distances (tens of meters [24]), and we show it is suitable for outdoor mobile settings due to the unpredictability of the surrounding environment. Besides the RF spatial correlation, we also utilize the temporal correlation.…”

Section: Introductionmentioning

confidence: 96%

“…Several works have shown that the V2V messages exchanged between platoon * These authors contributed equally to this work. members can significantly reduce the platoon following distance (from 2 seconds to as much as 0.5 seconds), without compromising the platoon safety [24], [37].…”

Section: Introductionmentioning

confidence: 99%

PoF: Proof-of-Following for Vehicle Platoons

Xu¹,

Li²,

Pan³

et al. 2022

Proceedings 2022 Network and Distributed System Security Symposium

View full text Add to dashboard Cite

Cooperative vehicle platooning significantly improves highway safety, fuel efficiency, and traffic flow. In this model, a set of vehicles move in line formation and coordinate acceleration, braking, and steering using a combination of physical sensing and vehicle-to-vehicle (V2V) messaging. The authenticity and integrity of the V2V messages are paramount to safety. For this reason, recent V2V and V2X standards support the integration of a PKI. However, a PKI cannot bind a vehicle's digital identity to the vehicle's physical state (location, velocity, etc.). As a result, a vehicle with valid cryptographic credentials can impact platoons from a remote location.In this paper, we seek to provide the missing link between the physical and the digital world in the context of vehicle platooning. We propose a new access control protocol we call Proof-of-Following (PoF) that verifies the following distance between a candidate and a verifier. The main idea is to draw security from the common, but constantly changing environment experienced by the closely traveling vehicles. We use the large-scale fading effect of ambient RF signals as a common source of randomness to construct a PoF primitive. The correlation of large-scale fading is an ideal candidate for the mobile outdoor environment because it exponentially decays with distance and time. We evaluate our PoF protocol on an experimental platoon of two vehicles in freeway, highway, and urban driving conditions. We demonstrate that the PoF withstands both the pre-recording and following attacks with overwhelming probability.

show abstract

Spacing Control of Cooperative Adaptive Cruise Control Vehicle Platoon

Cited by 12 publications

References 21 publications

Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art

Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art

A Platoon Control Method based on Cooperative Adaptive Cruise Control Vehicles in Traffic Flow

PoF: Proof-of-Following for Vehicle Platoons

Contact Info

Product

Resources

About