Collision avoidance on winding roads using dedicated short-range communication

Yuan, Yong J.; Jian, Wang; Xia, Haiying

doi:10.3846/16484142.2016.1278032

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Liu et al [36] proposed a DSRC-based end of queue conflict early-warning system, which took into account not only the permeability of DSRC, but also the influence factors of traffic and communication. Tian et al [37] proposed a method to use DSRC to predict vehicle movement behavior in collaborative vehicle environment. e above research is mainly applied to the earlywarning system and only considers the behavior of the front vehicle without considering the time spent by the driver's behavior operation before the vehicle behavior changes, which may lead to the prediction lag.…”

Section: Introductionmentioning

confidence: 99%

An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle

Yang

Liu

Zhou

et al. 2020

Journal of Advanced Transportation

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Driver’s intention of the front vehicle plays an important role in the automatic emergency braking (AEB) system. If the front vehicle brakes suddenly, there is potential collision risk for following vehicle. Therefore, we propose a driver’s intention recognition model for the front vehicle, which is based on the backpropagation (BP) neural network and hidden Markov model (HMM). The brake pedal, accelerator pedal, and vehicle speed data are used as the input of the proposed BP-HMM model to recognize the driver’s intention, which includes uniform driving, normal braking, and emergency braking. According to the recognized driver’s intention transmitted by Internet of vehicles, an AEB model for the following vehicle is proposed, which can dynamically change the critical braking distance under different driving conditions to avoid rear-end collision. In order to verify the performance of the proposed models, we conducted driver’s intention recognition and AEB simulation tests in the cosimulation environment of Simulink and PreScan. The simulation test results show that the average recognition accuracy of the proposed BP-HMM model was 98%, which was better than that of the BP and HMM models. In the Car to Car Rear moving (CCRm) and Car to Car Rear braking (CCRb) tests, the minimum relative distance between the following vehicle and the front vehicle was within the range of 1.5 m–2.7 m and 2.63 m–5.28 m, respectively. The proposed AEB model has better collision avoidance performance than the traditional AEB model and can adapt to individual drivers.

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Section: Introductionmentioning

confidence: 99%

An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle

Yang

Liu

Zhou

et al. 2020

Journal of Advanced Transportation

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“…Jiménez et al [3] in their work employed a laser scanner for their forward collision warning system in a single carriageway road. Tian et al [4] have used a DSRC for intervehicle communication and a trajectory modeling method to predict the vehicle behavior and vehicle path. Lee et al [5] in their work have used laser scanners to collect information to predict path of the vehicles, time to collide and frontal overlap.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT based rear-end collision avoidance system in highways

Johnson¹,

A²,

S³

2019

IJACR

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Road accidents on National Highways are multicausal. Ideally, the factors responsible should be established through an objective assessment of the circumstance under which the road accident occurred. Head on collision constituted 18.7% followed by hit from back with 16.7% in road accidents in the country, according to the extant data reporting system of the Road Accidents in India-2017 report released by Ministry of Road Transport and Highways, Government of India [1]. The National Highways in India which constitutes just about 2% of the total road network carries 40% of the traffic, accounts for 30.4% of total road accidents and 36.0% of the total number of persons killed during 2017 [1].

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“…Dedicated short‐range communication is a wireless communication for 1 way or 2 way. The allocated spectrum is 75 MHz in that 5.9 GHz band used by ITS vehicle safety and mobility applications.…”

Section: Introductionmentioning

confidence: 99%

A hybrid V2V system for collision‐free high‐speed internet access in intelligent transportation system

Guchhait

Maji

Kandar

2018

Trans Emerging Tel Tech

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Vehicle‐to‐vehicle communication can be effective in avoiding accident and traffic collision using dedicated short‐range communication (DSRC) in intelligent transportation systems. The problem of DSRC is it works in a short range of 1000 m and its frequency band cannot support a large number of users simultaneously, which leads to multiaccess interference, (MAI) noise, and low transmission rate. Multiaccess interference is referred as the overlapping of signals from different users in the network. A combination of the Worldwide Interoperability for Microwave Access (WiMAX) and the DSRC is proposed to improve the quality of service and network congestion using multiuser detection (MUD) and scheduling technique. This paper proposes a scheduling algorithm called league championship priority scheduling algorithm. In the league championship priority scheduling algorithm, the message will be sent on priority basis, depending on the bandwidth values and network coverage, so that MAI can be avoided. Moreover, MUD plays a major role in identifying the active users and nonactive users based on the condition of the threshold frequency and bandwidth. Thus, the implementation result shows that the proposed algorithm provides high‐transmission data rate and multiaccess interference can be avoided. The performance is evaluated to validate and estimate the performance of MUD and scheduling algorithm.

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Collision avoidance on winding roads using dedicated short-range communication

Cited by 7 publications

References 17 publications

An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle

An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle

IoT based rear-end collision avoidance system in highways

A hybrid V2V system for collision‐free high‐speed internet access in intelligent transportation system

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