Exploiting Off-the-shelf Mobile Device For Collision-warning In Vehicle Transportation

With the rapid popularization of convenient transportation,the problems of traffic safety have become more and more serious.The key point to solve them is the collision-warning strategy of active consciousness in vehicle.In traditional conditions,a particular vehicle radar and video recognition hardware needs to be installed on the vehicle or roadside for the collision-warning system,and it is too expensive and difficult to be popularized.However,nowadays,with the vigorous development of the mobile Internet,intelligent terminal equipment(intelligent mobile phone,tablet computer and so on)carried by the occupants makes it an easy job to do data acquisition because of increasingly sophisticated "assembly sensing devices".These smart devices not only have a certain degree of data collection and information exchange capabilities,but also a strong sense of processing capacity for the complex urban road traffic information.The obtained data information of vehicle position,speed and direction can be got from the GPS,accelerometer,magnetometer and gyroscope sensor devices on the intelligent terminal that occupants carry;and mobile Internet provides a powerful terminal interaction ability;so it is possible to make use of the strategy of the off-the-shelf mobile device for collision-warning.Based on the relevant research results,this paper studies the vehicle collision warning strategy under the condition of using the off-the-shelf equipment.The main contents are sum--marized as follows.1.This paper proposes a traffic path prediction strategy based on intelligent mobile phon e sensor.This paper gets the vehicle GPS data,real-time angular velocity,acceleration and heading angle sensor parameters by intelligent mobile that phone drivers carry,to deduce a method for predicting traffic path of current vehicle.In conditions of the premise of insufficient accuracy of GPS,this paper presents a method to improve the positioning accuracy of the algorithm based on the extended Calman filter technology,to reduce the system error and achieve high precision position collision-warning that this system requires.2.This paper presents a path detection method to judge the vehicle going straight or turning based on the driving state parameter acquired from the equipment such as the off-the-shelf smart phone.This paper designs a vehicle collision-warning algorithm under thecurrent traffic rules,and establishes the model of collision warning in the case of both straight and cross roads.The simulation results show the feasibility and superiority of using the off-the-shelf intelligent terminal in the mobile Internet to carry out vehicle anti-collision warning strategy.