Abstract
The driver behavior is the key to safe mobility. In general, vehicle maneuvers can be determined from acceleration of the vehicle. Physically, the acceleration and brake can be detected with longitudinal acceleration while turning and lane change can be detected with lateral acceleration. Normally, IMU (inertia measurement unit) has been designated to get those data. However, the IMU is not convenience to install in the vehicles especially as aftermarket additional parts. Nowadays, navigation system technologies have been much improved both on availability and accuracy with combination of multiple navigation satellite systems. Normally, it’s called Multi-GNSS (multiple global navigation satellite system). With decimeter precision and the update rate scale up to 10-Hz, the GNSS would be an alternative solution for driver behavior detection.
This paper applied the behavior detection algorithm from previous study [3], and enhanced with advance Multi-GNSS; precise point position (PPP) technique. The advantage of PPP over conventional navigation is decimeter accuracy without direct connection to reference base station. The experimental Multi-GNSS receiver was JAVAD Delta G3T that installed on a utility vehicle. The navigation data was post-processed with the open source RTKLIB 2.4.2 software. On the other hand, the reference vehicle dynamic measurement system was VBOX 3LSi with integrated IMU.
As results, the PPP improved the chance of detection of the algorithm from nothing in lane-changing to half of total incidents and significant improved on fault detected. Furthermore, the turning of vehicle which can be detected with conventional GPS was slightly improved with PPP by 15%.
The limitations of current study are satellite availability that new block of navigation satellite still in commissioning phase and limited. Moreover, all experiments were carried out in Pathumthani, Thailand. Different city, location and satellite systems may obtain different results.
In this paper, the high performance multi-GNSS navigation system was investigated with the driving behavior detection algorithm. The precise point positioning (PPP) technique in combination with multiple satellite navigation system (GPS+GLONASS+QZSS) were applied in this study. As results, the PPP improved the output of detection algorithm in lane change detection from nothing in conventional navigation system (GPS) to half of total incidents.
KEYWORDS - driver behavior, GNSS, vehicle safety, vehicle monitoring, ITS