Mobile Traffic Accident Prevention System based on Chronological Changes of Wireless Signals and Sensors

Noriki Uchida
1+, Shoma Takeuchi1, Tomoyuki Ishida2, and Yoshitaka Shibata3

1Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295 Japan,


2Ibaraki University, Hitachi, Ibaraki 3168511 Japan


3Iwate Prefectural University, Iwate, Japan



With the recent developments of ITS, it is expected that the traffic accidents by vehicles are decrease in the future. However, it is necessary to consider the traffic accidents for bicycles and pedestrians as well as vehicles. Therefore, this paper proposes the mobile traffic accident prevention system based on the chronological changes of Wireless and Sensors. The proposed systems continuously observe the radio signals and multiple sensors on the mobile devices, and the observed values are categorized into two types of sensors such as the sensing of the dangerous smartphonefs operations and the rapid approaching vehicles or bicycles. Then, the proposed algorithm based on the Markov Chain algorithm is introduced to identify the dangerous conditions. Moreover, the implementations of the prototype system are shown in the paper, and the field experiments of the WiFi detection of the proposed methods are discussed for the effectiveness and the future studies.


Keywords: Traffic Accident Prevention System, ITS, Sensors, Markov Chain Process


+: Corresponding author: Noriki Uchida
Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka, 811-0295 Japan


Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)

Vol. 8, No. 3, pp. 57-66, September 2017 [pdf]