Traffic accident involving vehicles is one of the most serious problems in the transportation system nowadays. How to detect\ndangerous steering and then alarm drivers in real time is a problem. What is more, walking while using smartphones makes\npedestrian more susceptible to various risks. Although dedicated short range communication (DSRC) provides the way for safety\ncommunications, most of vehicles have not been deployed with DSRC components. Even worse, DSRC is not supported by the\nsmartphones for vehicle-to-pedestrian (V2P) communication. In this paper, a smartphone-based framework named SenSafe is\ndeveloped to improve the traffic safety. SenSafe is a framework which only utilizes the smartphone to sense the surrounding\nevents and provides alerts to drivers. Smartphone-based driving behaviors detection mechanism is developed inside the framework\nto discover various steering behaviors. Besides, the Wi-Fi association and authentication overhead is reduced to broadcast the\ncompressed sensing data using the Wi-Fi beacon to inform the drivers of the surroundings. Furthermore, a collision estimation\nalgorithm is designed to issue appropriate warnings. Finally, an Android-based implementation of SenSafe framework has been\nachieved to demonstrate the application reliability in real environments.
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