Microcontroller Based Borewell Vehicle Status Informer Using GSM

2019 ◽  
Author(s):  
S. Sanjeev ◽  
J. Ajayan ◽  
S. Gowtham
Keyword(s):  
Vehicle Status

scholarly journals Developing a Driver Alert and Alarm System for High Quality Driving Supports

2017 ◽  
Vol 3 (1) ◽  
pp. 16
Author(s):  
Rei-Jo Yamashita ◽  
Hsiu-Hsen Yao ◽  
Hiroki Yamashita ◽  
Lo Chi
Keyword(s):  
Drunk Driving ◽  
Blind Spot ◽  
Comfort Level ◽  
Driving Safety ◽  
Alarm System ◽  
High Quality ◽  
Diagnostics System ◽  
Fatigue Driving ◽  
Vehicle Status ◽  
Blind Spots

Abstract—Prevention and vigilance plays a key role in preventing threatening risks and potential dangers when one is driving. In other to achieve the goal of averting danger when driving, people need valid and up to date information about: driving behavior, driving environment and vehicle status. There are a lot of factors that needs to be considered in order to keep a driver safe. Drunk driving, blind spots, bad driving habits, fatigue driving, and vehicle status are all factors that needs to be taken into account if safety is to be improved. Driving comfortability greatly depends on vehicle’s status and driver’s behavior. To evaluate the comfort level for a particular ride, we developed a number of formulas for evaluating various variable like vibration which has their base from the ISO. Rules for detecting these factors like fatigue driving, blind spot collision, etc., were set in this study, each of which has a threshold that shouldn’t be exceeded. In this paper, we introduce an in-car monitoring system for driving safety and provide alert and alarm functions using Android device connected to the car’s on-board diagnostics system(OBD-II) and the in-car module.

scholarly journals IOT connected predictive vehicle systems

2018 ◽  
Vol 7 (2.21) ◽  
pp. 391
Author(s):  
Murugadass . ◽  
P Sheela Gowr ◽  
M Latha ◽  
U V. Anbazhagu
Keyword(s):  
Internet Of Things ◽  
Health Information ◽  
Automobile Industry ◽  
Data Analytics ◽  
Sensor Data ◽  
Connected Vehicle ◽  
Technological Advancement ◽  
Vehicle Systems ◽  
Vehicle Sensor ◽  
Vehicle Status

Predictive maintenance is to identify vehicle maintenance issues before they occur. By leveraging data from navigation locator and motion of vehicle, status and parts of the vehicle, requirement of service, warranty repairs with current vehicle sensor data would be difficult for a human to discover. Predictive data analytics can find meaningful correlations via Connected Vehicle which is a technological advancement in Automobile industry. Using Internet of Things IOT, various information like health information of a driving person and navigation of vehicle can be easily monitored. Connected vehicle deals with cars and other vehicles where we the data will be shared with the backed applications like micro services. 

Research on Drive Control and Safety Management Strategy for Electric Vehicle

2014 ◽  
Vol 721 ◽  
pp. 308-312
Author(s):  
Hong Wei Liu ◽  
Li Juan Wang ◽  
Jun Hui Tian
Keyword(s):  
Electric Vehicle ◽  
Management Strategy ◽  
Safety Management ◽  
Control Unit ◽  
Vehicle Control ◽  
Driving Mode ◽  
Drive Control ◽  
Main Fault ◽  
Vehicle Status

The driving intentions are identified, based on gear, pedal signals and vehicle status. Driving process is divided into starting mode, driving mode, reversing mode and so on. Safety management module is set, in order to control the process of power on and off, and detect the main fault related to vehicle control unit.

Smart Vehicle Automation Using Internet of Things

2020 ◽  
Vol 17 (4) ◽  
pp. 1610-1615
Author(s):  
Visnu Dharsini ◽  
V. Gireesh ◽  
S. Vimal ◽  
Yash Nair
Keyword(s):  
Vehicle Safety ◽  
System Control ◽  
Cruise Control ◽  
Driving Experience ◽  
Smart Vehicles ◽  
Braking System ◽  
Temperature Recording ◽  
Vehicle Automation ◽  
Smart Vehicle ◽  
Vehicle Status

The field of automobile automation, though relatively new, has taken over the world by storm with the advent of driverless cars and smart vehicles. While these vehicles provide various automation features like autopilot, auto cruise control and automatic braking which enhance the driving experience and ensure safety, there are not many provisions for further safety, driver protection and problem prevention. Keeping this in mind, we have proposed a very inexpensive model to monitor the driver’s state and the in-vehicle safety, with an automatic braking system, using various sensors—gas (detecting highly poisonous toxic gases), IR (seatbelts), alcohol (if the driver is drunk), temperature/flame (for fire inside and temperature recording), humidity, LDR (automatic headlights) and ZIGBEE (automatic braking). A 12 V DC motor (wheel) controlled by L298N. The vehicle status and the motor stop reason is displayed in a basic LCD display. The data collected in all these sensors is displayed in the cloud for analyses. Arduino was used for interconnection, automation and system control. NodeMCU for cloud connection. The whole system is powered by a 5 V power source.

An In-Vehicle Monitoring System with OBD-Based Vehicle Terminal

2014 ◽  
Vol 494-495 ◽  
pp. 16-19 ◽  
Author(s):  
Wen Jie Chen
Keyword(s):  
Monitoring System ◽  
Vehicle Monitoring ◽  
Vehicle Terminal ◽  
Vehicle Status

An In-Vehicle Monitoring System (IVMS) monitors the location and status of the remote vehicle status. We developed an IVMS with OBD based Vehicle Terminal (VT) instead of traditional one, to reduce installing complexity and gain more useful data from OBD interface. This paper describes the architecture, discusses the different users and their related concerned features. This paper classifies the OBD-VT to 3 classes to fit for different requests. Finally, this paper discusses the development of OBD specification, with an expectation of standardization of more common functions, such as anti-theft features.

Improvements and Implementation of Integrated In-Vehicle Monitoring System

2013 ◽  
Vol 462-463 ◽  
pp. 1023-1027
Author(s):  
Wen Jie Chen
Keyword(s):  
Big Data ◽  
Fuel Consumption ◽  
Monitoring System ◽  
The State ◽  
Vehicle Monitoring ◽  
Vehicle Status ◽  
State Of Art ◽  
Administrative Boundary

An In-Vehicle Monitoring System (IVMS) monitors the location and status of the remote vehicle status. In this paper, we introduce an integrated IMVS suit for various vehicles types. Based on the state of art IMVS, this system realized some improvements on it. These improvements include report interval, fuel consumption, spotting the target, administrative boundary electronic fence, and big data. These improvements amplify the practicability, expand the use scope and improve the efficiency of IVMS.

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