TY - BOOK
T1 - Technical report: The Advanced Vehicle Monitoring & Assistance System
AU - Pang, J. Y.
AU - Rudrusamy, Bhuvendhraa
PY - 2022
Y1 - 2022
N2 - This project aimed to propose and perform Proof of Concept (PoC) of the Advanced Vehicle Monitoring & Assistance System (AVMS). The AVMS is developed to overcome and reduce the accidents due to the behaviour and driving pattern of a driver by adopting the Internet of Things (IoT) and new technologies. As part of the new innovative approach to reduce road accidents, this project focuses on the usage of IoT concept in which an integrated system is designed to monitor the speed, location and human driving behaviour on the road. In terms of speed, the threshold speed limit will be set and alerts will be sent to both driver and head office when the threshold is surpassed via Global Positioning System (GPS). Driving assistance system using the lane tracking method was installed, in which notification will be sent when recklessness is detected, such as driving or manoeuvring out of the lane or not using the indicator when turning to the other lane. All the features will allow data to be fed through the access portal in the head office in real time, therefore increasing the awareness of collective responsibility to drive safely. The advantages of this project include the obligation of drivers to adhere to speed limit and other regulations, while complying with the optimum number of hours one can drive on the road based on the data from the system. As the final outcome of this project, a standardisation of guidelines and best practices on transportation system can be developed, not only to monitor but also empower enforcement of laws in reducing accident rates due to human driving behaviour through the applications of IoT technology and data analytics.
AB - This project aimed to propose and perform Proof of Concept (PoC) of the Advanced Vehicle Monitoring & Assistance System (AVMS). The AVMS is developed to overcome and reduce the accidents due to the behaviour and driving pattern of a driver by adopting the Internet of Things (IoT) and new technologies. As part of the new innovative approach to reduce road accidents, this project focuses on the usage of IoT concept in which an integrated system is designed to monitor the speed, location and human driving behaviour on the road. In terms of speed, the threshold speed limit will be set and alerts will be sent to both driver and head office when the threshold is surpassed via Global Positioning System (GPS). Driving assistance system using the lane tracking method was installed, in which notification will be sent when recklessness is detected, such as driving or manoeuvring out of the lane or not using the indicator when turning to the other lane. All the features will allow data to be fed through the access portal in the head office in real time, therefore increasing the awareness of collective responsibility to drive safely. The advantages of this project include the obligation of drivers to adhere to speed limit and other regulations, while complying with the optimum number of hours one can drive on the road based on the data from the system. As the final outcome of this project, a standardisation of guidelines and best practices on transportation system can be developed, not only to monitor but also empower enforcement of laws in reducing accident rates due to human driving behaviour through the applications of IoT technology and data analytics.
M3 - Other report
BT - Technical report: The Advanced Vehicle Monitoring & Assistance System
PB - Malaysian Technical Standards Forum Bhd
ER -