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The road accident is major problem around the world and also in Thailand, The main cause is concerning the driving behavior e.g. uncarefulness, aggression, drowsiness and etc. Dangerous driving is categorized by means of lateral vehicle dynamics when the turning or lane changing is performed, and longitudinal one if the braking or rapid acceleration is occurred. For this reason, we developed the vehicle monitoring system based on novel consumer grade multi-satellite navigation receivers and proposed the lateral acceleration estimation from these data. The system were tested within controlled condition tested track. The multiple satellite system, GPS and multi-GNSS: GPS+Glonass and GPS+Beidou were tested and compared to the reference inertial measurement unit (IMU) As results, the maximum lateral acceleration in tested track were chosen and compared with reference IMU.

The road accident is major concern around the world, so do Thailand. It is caused by three main factors: man, vehicle and infrastructure. The most important part that accounts the safety of vehicle is human. With experiences and careful driver, the accident could be diminished. So that the vehicle monitoring systems are the vital tools to screen out the inexperience or aggressive driver. In this paper, we state the problem about the dangerous driving behavior by monitoring lateral and longitudinal acceleration. For this purpose, the inertial measurement unit should be applied but it is inconvenient to install in the vehicle. Consequently, the vehicle monitoring system were developed based on novel consumer grade multi-satellite navigation receivers and were compared to Racelogic Video V-Box system in controlled condition tested track. The incidents were virtually detected and reviewed. The incident detection algorithm were proposed and tested alongside with receivers.

Driver behavior is one of the most important factors in safe mobility. In general, various driver 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 these data. However, the IMU is not convenience to install in the vehicles especially as aftermarket 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). In particular, the satellite navigation systems available in this work are GPS, GLONASS, and QZSS. With decimeter precision and the update rate scale up to 10-Hz, the GNSS can be a viable alternative for driver behavior detection.

Normally, the energy conversion efficiency in road vehicle was presented in term of amount of unit fuel per distance within specific condition where it could not be comparable in practice that the variations of dynamic traffic condition and driver behavior were impacted. To minimized energy consumption, the both traffic conditions and driver behavior needs to be managed. The traffic conditions improves as infrastructure development, but the driver behavior needs personal training with equipment In this study, the alternative practical indicator was proposed with applying specific positive kinetic energy concept to indicate the level of vehicle dynamic behavior which relate to the level of fuel consumption rate. Furthermore, the experimental were taken place in Pahonyothin Rd. (Bangkok, Thailand) including urban, sub-urban and highway with various traffic congestion level.

This paper presents an investigation on fuel consumption in Bangkok traffic condition with an application of idle stop system. Collected data is evaluated by cutoff the fuel usage while the vehicle is in stationary condition. The vehicles in this study are ordinary vehicle which is not the vehicle with idle-stop system. The study includes four levels of congestion and three road side conditions. With idle stop system, for spark ignition engine 40% of fuel consumption rate could be improved in severe condition and 10% improvement in free flow traffic. In addition, the fuel consumption can be improved by 30% for compression ignition engine. Furthermore, the idle stop system improves fuel efficiency in severe congestion to the same level as the free flow traffic