Abstract
Traffic accident involving vehicles is one of the most serious problems in the transportation system nowadays. How to detect dangerous steering and then alarm drivers in real time is a problem. What is more, walking while using smartphones makes pedestrian more susceptible to various risks. Although dedicated short range communication (DSRC) provides the way for safety communications, most of vehicles have not been deployed with DSRC components. Even worse, DSRC is not supported by the smartphones for vehicle-to-pedestrian (V2P) communication. In this paper, a smartphone-based framework named SenSafe is developed to improve the traffic safety. SenSafe is a framework which only utilizes the smartphone to sense the surrounding events and provides alerts to drivers. Smartphone-based driving behaviors detection mechanism is developed inside the framework to discover various steering behaviors. Besides, the Wi-Fi association and authentication overhead is reduced to broadcast the compressed sensing data using the Wi-Fi beacon to inform the drivers of the surroundings. Furthermore, a collision estimation algorithm is designed to issue appropriate warnings. Finally, an Android-based implementation of SenSafe framework has been achieved to demonstrate the application reliability in real environments.
Highlights
Traffic safety becomes one of the serious problems in the transportation systems
Using smartphone while walking is increasingly apparent in our society, and when people walk with their attention on smartphones and distracted from the scenery, potential accidents are in front of them
We propose SenSafe, a smartphone-based framework for traffic safety by sensing, communication, and alerting, which overcomes the limitations of requesting additional professional equipment inherent in the existing approaches
Summary
Traffic safety becomes one of the serious problems in the transportation systems. As the number of the vehicles is growing, the levels of traffic accidents have increased significantly. Sensor technology available in smartphones enables the monitoring of vehicle mobility behaviors, including lane change, turns, acceleration, and brake If such information can be sensed and transmitted to other vehicles or pedestrians, they can be potentially used in collision prevention, early crash detection, congestion avoidance, and so forth. We propose SenSafe, a smartphone-based framework for traffic safety by sensing, communication, and alerting, which overcomes the limitations of requesting additional professional equipment inherent in the existing approaches. SenSafe is a novel framework which only utilizes the smartphone to improve the transportation safety It detects and reports vehicle’s events based on the sensing data collected from steering behaviors in urban area.
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