2015 International Conference on Connected Vehicles and Expo (ICCVE)
An Intelligent Vehicular Telematics Platform for Vehicle Driving Safety Supporting System Liang-Bi Chen1,2, Hong-Yuan Li3, Wan-Jung Chang3*, Jing-Jou Tang3, and Katherine Shu-Min Li1 1
Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan 2 BXB Electronics Co., Ltd., Kaohsiung, Taiwan 3 Department of Electronic Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan *
[email protected] Abstract—This paper proposes an intelligent vehicular telematics platform, which consists of an in-vehicle device connecting the CAN bus with an ODB-II bridge construction, and a mobile application software on smartphone for vehicle driving safety. The proposed platform can real-time monitor vehicular information (such as vehicle engine speed, oxygen, speed per hour, and water temperature), which can efficiently reduce major accidents occurrence ratio. Moreover, the proposed platform also provides immediate vehicle location GPS coordinates and date that can effectively help to recover the lost vehicles. Keywords—CAN bus; cloud computing; driving safety; invehicle device; in-vehicle prognostics; OBD-II; vehicular telematics system.
I. INTRODUCTION
Fig. 1. The event statistics of traffic accidents from MOTC in Taiwan [1].
In recent years, it is observed that the traffic accidents events are more and more increased even achieves more than 270,000 events according to the statistics [1] from the ministry of transportation and communications (MOTC), Taiwan, as shown in Fig. 1. It means that the efficiently traffic accidents reduction for the vehicle driving safety is more and more important.
not be avoided, leading some parts of abnormality would not be detected. To face this problem, an intelligent vehicular telematics platform is proposed in this paper, which can real-time collect and diagnose related vehicular information to achieve driving safety.
Hence, with the great growth for concerning vehicle driving safety, many driving assistance systems have been discussed, researched and developed [2]-[4], in order to efficiently reduce or avoid traffic accidents occurrence. The most of these previous published works addressed the road safety behavior or navigation which depended on information and communication technologies (ICTs) between the vehicle and the roadside infrastructure (V2I) or between vehicles (V2V) [3]. In addition, the learning driver behavior models from traffic observations have been discussed for better decision making and planning [4].
II. THE PROPOSED VEHICULAR TELEMATICS PLATFORM The proposed vehicular telematics platform consists of an in-vehicle device, connecting the controller area network (CAN) bus with an on-board diagnostics-II (OBD-II) bridge construction [5], and a mobile application software on smartphone for vehicle driving safety, as shown in Fig. 2. Generally, the CAN bus is widely adopted as internal LANs communications in a vehicle. Hence, the outside world cannot get the related information from internal LANs network in vehicle. In this work, the OBD-II bridge constructs an intercommunication between internal LANs communications and external networks. On the other words, the in-vehicle device can real-time read in-vehicle internal messages such as vehicle engine speed, oxygen, speed per hour, vehicle standardized malfunction code, and water temperature via an OBD-II bridge.
Although many vehicle driving assistance supporting systems have been developed, but that still lack related consideration about malfunction part in a vehicle. With a longterm vehicle use, the malfunction part in a vehicle would be great increased, moreover, the number and time of returning the automobile maintenance plant should also be increased for driving safety requirement. On the other hand, the traditional vehicle maintenance way is based on repair technicians’ repair experiences to judge the faults, and not diagnosis by using professional electronics equipment. The human factors could
The diagnostic mode of the OBD-II can help to know what are the malfunctions in a vehicle. Driver can understand abnormal data value in which in-vehicle sensors. Based on this
This work was partially supported by the Ministry of Science and Technology (MoST), Taiwan, under grants, MOST 104-2220-E-218-001 and MOST-104-2220-E-110-002.
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DOI 10.1109/ICCVE.2015.9
2015 International Conference on Connected Vehicles and Expo (ICCVE)
Fig. 2. The proposed vehicular telematics platform.
abnormal messages, for the further vehicle maintenance needs can be determined in order to ensure driving safety of the driver.
III. CONCLUSION An intelligent vehicular telematics platform for vehicle driving safety supporting system has been proposed in this paper. The proposed platform can achieve the purpose of driving safety for reducing major accidents occurrence ratio. Furthermore, the proposed platform also provides the immediate vehicle location GPS coordinates and date that can effectively help to recover the lost vehicles.
The current health status of a vehicle has become a major driver’s point of concern. Especially for the driver belongs unknowingly when the sensors belong to sudden failure. The accident occurrence and the attribution of responsibility cannot be transparent , but driver can instantly know whether your vehicle for driving on the road by using the proposed platform. The condition of the vehicle can timely control, thus driver can reduce the chances of the accident, but also well aware that health of driver’s vehicle.
REFERENCES [1]
The in-vehicle device can be connected smartphone in vehicle by Bluetooth. A mobile application software executing on smartphone can automatically send current status of the vehicle to cloud server via 3G/4G networks. Professional online service staff can immediately analyze current health status of driving vehicle and gives a necessary assistance. In addition, the on-line service staff can also take the initiative to remind driver when vehicle need to return the maintenance plant for maintaining vehicle.
[2]
[3]
[4]
Furthermore, smartphone and in-vehicle device can provide immediate vehicle location GPS coordinates and date, thus online service staff can help to recover the lost vehicles.
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Statistics (1988-2014) of motor vehicle service accidents. [Online]. Ministry of Transportation and Communications, Taiwan. Available: http://stat.motc.gov.tw/mocdb/stmain.jsp?sys=100&funid=e3303. G. S. Zanardo, T. Syanger, D. Lang, and L. D. Re, “An integrated evaluation approach for performance and safety of autonomous vehicles,” in Proceedings of the 2013 International Conference on Connected Vehicles and Expo (ICCVE’13), pp. 933-934, 2013. M. Fogue, P. Garrido, F. J. Martinez, J.-C. Cano, C. T. Calafate, and P. Manzoni, “Automatic accident detection assistance through communication technologies and vehicles,” IEEE Vehicular Technology Magazine, vol. 7, no.3, pp. 90-100, 2012. T. Gindele, S. Brechtel, and R. Dillmann, “Learning driver behavior models from traffic observations for decision making and planning,” IEEE Intelligent Transporation System Magazine, vol. 7, no. 1, pp. 6979, 2015. Introduction to on-board diagnostics (OBD), [Online]. Available: https://en.wikipedia.org/wiki/On-board_diagnostics
DOI 10.1109/ICCVE.2015.9
