IoT-Based Vehicle Monitoring and Driver Assistance System Framework for Safety and Smart Fleet Management

Curbing road accidents has always been one of the utmost priorities in every country. In Malaysia, Traffic Investigation and Enforcement Department reported that Malaysia’s total number of road accidents has increased from 373,071 to 533,875 in the last decade. One of the significant causes of road accidents is driver’s behaviours. However, drivers’ behaviour was challenging to regulate by the enforcement team or fleet operators, especially heavy vehicles. We proposed adopting the Internet of Things (IoT) and its’ emerging technologies to monitor and alert driver’s behavioural and driving patterns in reducing road accidents. In this work, we proposed a lane tracking and iris detection algorithm to monitor and alert the driver’s behaviour when the vehicle sways away from the lane and the driver feeling drowsy, respectively. We implemented electronic devices such as cameras, a global positioning system module, a global system communication module, and a microcontroller as an intelligent transportation system in the vehicle. We implemented face recognition for person identification using the same in-vehicle camera and recorded the working duration for authentication and operation health monitoring, respectively. With the GPS module, we monitored and alerted against permissible vehicle’s speed accordingly. We integrated IoT on the system for the fleet centre to monitor and alert the driver’s behavioural activities in real-time through the user access portal. We validated it successfully on Malaysian roads.  The outcome of this pilot project benefits the safety of drivers, public road users, and passengers. The impact of this framework leads to a new regulation by the government agencies towards merit and demerit system, real-time fleet monitoring of intelligent transportation systems, and socio-economy such as cheaper health premiums. The big data can be used to predict the driver’s behavioural in the future

IoT-Based Vehicle Monitoring and Driver Assistance System Framework for Safety and Smart Fleet Management

Curbing road accidents has always been one of the utmost priorities in every country. In Malaysia, Traffic Investigation and Enforcement Department reported that Malaysia’s total number of road accidents has increased from 373,071 to 533,875 in the last decade. One of the significant causes of road accidents is driver’s behaviours. However, drivers’ behaviour was challenging to regulate by the enforcement team or fleet operators, especially heavy vehicles. We proposed adopting the Internet of Things (IoT) and its’ emerging technologies to monitor and alert driver’s behavioural and driving patterns in reducing road accidents. In this work, we proposed a lane tracking and iris detection algorithm to monitor and alert the driver’s behaviour when the vehicle sways away from the lane and the driver feeling drowsy, respectively. We implemented electronic devices such as cameras, a global positioning system module, a global system communication module, and a microcontroller as an intelligent transportation system in the vehicle. We implemented face recognition for person identification using the same in-vehicle camera and recorded the working duration for authentication and operation health monitoring, respectively. With the GPS module, we monitored and alerted against permissible vehicle’s speed accordingly. We integrated IoT on the system for the fleet centre to monitor and alert the driver’s behavioural activities in real-time through the user access portal. We validated it successfully on Malaysian roads.  The outcome of this pilot project benefits the safety of drivers, public road users, and passengers. The impact of this framework leads to a new regulation by the government agencies towards merit and demerit system, real-time fleet monitoring of intelligent transportation systems, and socio-economy such as cheaper health premiums. The big data can be used to predict the driver’s behavioural in the future

The Detection Data Processing Mechanism for Vehicular Cyber Physical System in IoT Environment

With the development of the Internet of Things and big data technology, it was easy to collect personal situation information. The information collected in this way requires the user to support customized services via big data technology. However, traditional situational awareness systems request action through user cognition or provide consistent services for the specific purposes of multiple users. Therefore, this paper proposes a mechanism of Vehicular CPS with situational cognitive function that minimizes direct user intervention for user customization services. In this paper, we designed the system configuration and detailed process based on the scenario of the situation where the user is driving a car. A vector is used to provide a method for determining a dangerous water level by analyzing an abnormal state of a reception threshold with a sensor. The proposed system was analyzed by simulation. By using the authorization step that operates based on the sensor data, we were able to know that the reliability of the user is improved and that the reliable processing of the IoT service is possible. In the future, research for personal authentication and encryption is needed for more secure information processing

IoT based car accident detection and notification algorithm for general road accidents

With an increase in population, there is an increase in the number of accidents that happen every minute. These road accidents are unpredictable. There are situations where most of the accidents could not be reported properly to nearby ambulances on time. In most of the cases, there is the unavailability of emergency services which lack in providing the first aid and timely service which can lead to loss of life by some minutes. Hence, there is a need to develop a system that caters to all these problems and can effectively function to overcome the delay time caused by the medical vehicles. The purpose of this paper is to introduce a framework using IoT, which helps in detecting car accidents and notifying them immediately. This can be achieved by integrating smart sensors with a microcontroller within the car that can trigger at the time of an accident. The other modules like GPS and GSM are integrated with the system to obtain the location coordinates of the accidents and sending it to registered numbers and nearby ambulance to notify them about the accident to obtain immediate help at the location

Automated Pollution Control System in Vehicles: A Review

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IOT Cloud Based Real Time Automobile Monitoring System

Smart sensing has had a significant impact on defining our future in recent years. The field of IOT is a recent technical innovation that has caused a change in lifestyle (Internet of things). IoT refers to the internetworking of physical equipment and other items that are equipped with electronics, software, sensors, and network connectivity to allow data to be collected from them. Transportation is a booming industry in India, with the number of vehicles on the road increasing by the day. Monitoring vehicle metrics such as gasoline, temperature, and battery level without having to touch the car is perfect. In this digital age, a digital locking mechanism is desperately needed. When your vehicle is not with you, vehicle tracking is also essential. Here, car tracking is designed using GPS to conveniently locate the user's vehicle. The IoT cloud-based real-time automotive monitoring system is capable of monitoring our vehicle's metrics such as fuel level, battery level, engine temperature, and speed, as well as tracking the driver's alcohol percentage via an Android application. We receive an alert when one of these metrics crosses a certain threshold. Its Smart RFID digital key secures your vehicle even more than keys do. We may save our vehicle documents, driver's licences, insurance copies, and other documents in this project's Android application. Whenever an accident occurs, send a message to trusted people with the location

Helmet-Mounted Display System Based on IoT

Many people enjoy motorcycle riding and there are thousands of people who have lost their lives due to road accidents. This is mainly due to the delay in the state of emergency that must be provided to the victims. The helmet-mounted display system that uses the Internet of Things (IoT) reduces accidents and informs its contacts in emergencies so the helmet module contains sensors to determine the passenger\u27s pulse rate, alcohol content, and vibration intensity. The pulse rate sensor is used to determine whether the rider has worn the helmet and which will be connected to the rider\u27s start of his trip on the road. That\u27s why we implemented a prototype proposal using the IoT to connect all devices and make it easier for the user to reduce road accidents by displaying all their needs in full on the helmet screen. So, in the implementation of our proposal, we made several systems connected with Raspberry Pi 4 which are Global Positioning System (GPS) applications, camera systems, and sensors that display all output data in the background, after that will transmit all these data from Raspberry Pi 4 to Raspberry Pi 3 through User Datagram Protocol (UDP), which Raspberry Pi 3 connected with Digital Light Processing )DLP) projector to display all background data as a hologram to the user giving him safety on the road without any distractions

INTERNET OF THINGS BASED SMART HELMET FOR ALERTING ACCIDENT

Abstract This article is about a smart helmet, a novel idea that increases the safety of motorcycle riding. In order to stop vehicles from starting while the driver is not wearing a helmet, this technique was developed. or is inebriated. Furthermore, with the help of a GPS GSM-based tracking system, it detects accidents and sends SMS notifications to particular persons showing the bike's location and speed just before the collision, assisting ambulances in arriving at the precise spot. We want to integrate all of the sensors into the helmet, which will wirelessly transmit data to the module attached to the bike engine. There will be two modules in this smart motorcycle helmet system with one helmet and one motorcycle. The bike module has a vibration sensor, GPS, and GSM, whilst the helmet module has an alcohol sensor, a helmet sensor, and a switch. Both of these modules connect wirelessly using an Arduino as a microcontroller and an RF transmitter and receiver with encoder and decoder

A Recent Connected Vehicle - IoT Automotive Application Based on Communication Technology

Realizing the full potential of vehicle communications depends in large part on the infrastructure of vehicular networks. As more cars are connected to the Internet and one another, new technological advancements are being driven by a multidisciplinary approach. As transportation networks become more complicated, academic, and automotive researchers collaborate to offer their thoughts and answers. They also imagine various applications to enhance mobility and the driving experience. Due to the requirement for low latency, faster throughput, and increased reliability, wireless access technologies and an appropriate (potentially dedicated) infrastructure present substantial hurdles to communication systems. This article provides a comprehensive overview of the wireless access technologies, deployment, and connected car infrastructures that enable vehicular connectivity. The challenges, issues, services, and maintenance of connected vehicles that rely on infrastructure-based vehicular communications are also identified in this paper