Real-Time V2V Communication With a Machine Learning-Based System for Detecting Drowsiness of Drivers

Author(s):  
Ahmed Y. Awad ◽  
Seshadri Mohan

This article applies machine learning to detect whether a driver is drowsy and alert the driver. The drowsiness of a driver can lead to accidents resulting in severe physical injuries, including deaths, and significant economic losses. Driver fatigue resulting from sleep deprivation causes major accidents on today's roads. In 2010, nearly 24 million vehicles were involved in traffic accidents in the U.S., which resulted in more than 33,000 deaths and over 3.9 million injuries, according to the U.S. NHTSA. A significant percentage of traffic accidents can be attributed to drowsy driving. It is therefore imperative that an efficient technique is designed and implemented to detect drowsiness as soon as the driver feels drowsy and to alert and wake up the driver and thereby preventing accidents. The authors apply machine learning to detect eye closures along with yawning of a driver to optimize the system. This paper also implements DSRC to connect vehicles and create an ad hoc vehicular network on the road. When the system detects that a driver is drowsy, drivers of other nearby vehicles are alerted.

Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.


Author(s):  
Pietro Manzoni ◽  
Carlos T. Calafate ◽  
Juan-Carlos Cano ◽  
Antonio Skarmeta ◽  
Vittoria Gianuzzi

Vehicular Ad hoc NETworks (VANETs) is an area under intensive research that promises to improve security on the road by developing an intelligent transport system (ITS). The main purpose is to create an inter-communication network among vehicles, as well as between vehicles and the supporting infrastructure. The system pretends to offer drivers data concerning other nearby vehicles, especially those within sight. The problem of information sharing among vehicles and between the vehicle and the infrastructure is another critical aspect. A general communication infrastructure is required for the notification, storage, management, and provision of context-aware information about user travel. Ideally an integrated vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication paradigm enriched with an information management system would solve the problem. The infrastructure should manage all the collected safety events garnered from vehicles and the interesting information to be provided to the user, which is adapted to the car context and driver preferences. Finally, security issues should be considered. Since the information conveyed over a vehicular network may affect critical decisions, fail-safe security is a necessity. The first directive for any V2V communication scheme is, therefore, that every safety message must be authenticated. Because of the high speed and therefore short duration within which communication between two cars is possible, communication must be non-interactive, and message overhead must be very low. The urgency of safety messages implies that authentication must be instantaneous without additional communication. Moreover, providing strong security in vehicular networks raises important privacy concerns that must also be considered. Safety messages include data that is dangerous to the personal privacy of vehicle owners. Most relevant is the danger of tracking a vehicle through positional information. A set of security basics to address these challenges should be proposed that can be used as the building blocks of secure applications. In this article we will focus on the aforementioned technologies and engineering issues related to vehicular ad-hoc networks, emphasizing the challenges that must be overcome to accomplish the desired vehicular safety infrastructure.


2015 ◽  
Vol 73 (3) ◽  
Author(s):  
Herlina Abdul Rahim ◽  
Ahmad Dalimi ◽  
Haliza Jaafar

The driver’s condition, which involves staying focus on the road, is the most important aspect to consider whenever one is driving. To ignore the importance of this could result in severe physical injuries, deaths and economic losses. Again, previous researches were focused mainly on the physical conditions of the driver; eg movement of head and drowsiness. However, this research is focused on the driver’s heart rate by using an infrared heart-rate sensor or pulse sensor. These sensors are non-intrusively measured heart pulse wave from the driver’s heart. By doing experiment, the results show clear pulse wave signal can be obtained by looking at the low to high frequency (LF/HF ratio) which calculate HRV frequency domain of the driver’s heart rate time series. The LF/HF ratio shows decreasing trends as the drivers go from the state of being awake and alert to the state of drowsiness. Therefore, accidents can be avoided if there is an alert system to keep the drivers alert and focused on the road.


Vehicular Ad-Hoc Networks (VANETs) is evolving into highly developed systems that improve driver experience in terms of security and offer much-needed tranquility on the roads as well. VANET makes it possible for a vehicle to communicate, (vehicle to vehicle communication) V2V, beyond its visual coverage region for an advance alert. Vehicle accident alert depends on data received from sensors, cameras, onboard units, wireless communication, global positioning systems, and Roadside Units (RSU) placed on equidistance along the roads. It collects data from all entities, i.e., RSUs or OBU, and processes it, leading decisions subsequently. In V2V communication, vehicles support different services such as declaring an accident with their exact coordinates and traffic status updates. In this paper, a protocol is discussed and reviewed and studied about onvehicle wireless communication capabilities in terms of handling accident alerts for road safety applications. Accident detection in an early stage can help in saving life on the road and enhance medical support probability. Providing the accurate time of accident and locality to the approaching vehicles to reduce down further mishaps on the road. This proposed protocol is flexible enough to adapt real-time environmental adjustments, including road density and speed, traffic state, and network dynamics.


Author(s):  
Amolkirat Singh ◽  
Guneet Saini

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.


Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.


2021 ◽  
Vol 13 (3) ◽  
pp. 68
Author(s):  
Steven Knowles Flanagan ◽  
Zuoyin Tang ◽  
Jianhua He ◽  
Irfan Yusoff

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.


2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3622 ◽  
Author(s):  
Jin-Woo Kim ◽  
Jae-Wan Kim ◽  
Dong-Keun Jeon

Vehicular ad hoc networks (VANETs) provide information and entertainment to drivers for safe and enjoyable driving. Wireless Access in Vehicular Environments (WAVE) is designed for VANETs to provide services efficiently. In particular, infotainment services are crucial to leverage market penetration and deployment costs of the WAVE standard. However, a low presence of infrastructure results in a shadow zone on the road and a link disconnection. The link disconnection is an obstacle to providing safety and infotainment services and becomes an obstacle to the deployment of the WAVE standard. In this paper, we propose a cooperative communication protocol to reduce performance degradation due to frequent link disconnection in the road environment. The proposed protocol provides contention-free data delivery by the coordination of roadside units (RSUs) and can provide the network QoS. The proposed protocol is shown to enhance throughput and delay through the simulation.


Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2772
Author(s):  
Gleb Dubosarskii ◽  
Serguei Primak

Anti-jamming games have become a popular research topic. However, there are not many publications devoted to such games in the case of vehicular ad hoc networks (VANETs). We considered a VANET anti-jamming game on the road using a realistic driving model. Further, we assumed the quadratic power function in both vehicle and jammer utility functions instead of the standard linear term. This makes the game model more realistic. Using mathematical methods, we expressed the Nash equilibrium through the system parameters in single-channel and multi-channel cases. Since the network parameters are usually unknown, we also compared the performance of several reinforcement learning algorithms that iteratively converge to the Nash equilibrium predicted analytically without having any information about the environment in the static and dynamic scenarios.


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