Providing accident detection in vehicular networks through OBD-II devices and Android-based smartphones

Integrated Vehicle Accident Detection and Location System

“…It incorporates a triple-axis gyro (ITG-3200), a triple-axis accelerometer (ADXL345) and a triple-axis magnetometer (HMC5883L) in a single board. The accelerometers are capable of providing ±16g acceleration and gyros are capable of providing ±2000°/sec second which are sufficient to provide any sudden acceleration for detecting vehicle accident [14]. The outputs of all sensors are processed by the on-board ATmega328 microprocessor with 13-bit resolution over a serial interface at a maximum 57,600bps.…”

“…Vehicle decelerates when the brake is applied. Any deceleration more than 5Gs is considered as an accident situation by the proposed algorithm [14]. In this situation, the system would raise an alarm for the location detection module.…”

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

“…Zaldivar et al [38] proposed using smartphones as an alternative on-board unit (OBU) in vehicles to access information in the vehicle's electronic control unit (ECU) wirelessly. An ECU is typically accessed through an industry-standard on-board diagnostic connector, known as OBD-II.…”

“…Similarly, Yang et al [37] developed a smartphone-based diagnostic system for hybrid electric vehicles that also accesses a vehicle's CAN bus through OBD-II. [38] in that it detects accidents using only the accelerometer values from a smartphone, and not the values from a vehicle's electronic control unit (ECU). In addition to the advantage of not requiring additional hardware, WreckWatch also requires no permanent GPS-connection, which dramatically reduces power consumption.…”

Itsphone: an integrated platform for participatory its data collection and opportunistic transfer

“…In [1], an Androidbased smartphone monitors CAN bus data from an On-board Diagnostics (OBD) interface 1 and if an accident occurs, it is promptly notified. In [2], a smartphone application is designed that uses sensors to enable detection of the driving pattern, and suggests new behaviors to reduce the fuel consumption.…”