Research On Shared Bicycle Cycling Route Recommendation Method Based On Crowdsensing

The advantages of sharing bicycles with zero pollution and zero emissions make it the first choice for modern,healthy,low-carbon,green and environmentally friendly travel.Transportation agencies are working hard to improve the legitimacy of shared bicycle networks,improve safety and comfort,to improve the experience of existing cyclists and attract new users.The bike sharing bike needs to use the smartphone to open the location service until the user reaches the bike destination,close the car lock and end the bike ride.The update of the current electronic map mainly relies on professionals and professional instruments,which takes time and effort.The map is not updated in time,causing pedestrians to detour;in addition,studies have shown that cyclists will pay attention to comfort during riding.Riding comfort is not only related to the surrounding environment of the road,but also to the vibration feeling felt by the rider.Vibration is mainly caused by uneven roads.Long-term riding on bumpy roads will damage the health of the rider.Therefore,if the user can understand the comfort of the road before riding,it will help the user to travel healthier and safer.At present,more and more sensors are deployed on mobile terminals.A large number of ordinary users use these mobile devices to collaborate with the Internet to realize the distribution of perception tasks and the collection of perception data to complete large-scale and complex social perception tasks.This technology is called swarm Wisdom perception.Based on the above,this article will combine group intelligence perception technology and will be applied in intelligent transportation.The main research contents and contributions are summarized as follows:1.Analyze the needs of shared bicycle users through questionnaire surveys and literature surveys;2.Combined with the common application methods of Qunzhi perception in intelligent transportation,a reasonable design was made for the available ways of sharing bicycles;3.Collect the data of multiple sensors in the user's mobile phone,and the comfort questionnaire fed back at the end of the ride;4.Perform data preprocessing and separate out riding data;5.Carry out map matching,separate unmatched riding data,and find new road segments from trajectory clustering;6.According to the evaluation of user comfort,combine the collected acceleration sensor data to quantify the comfort of the riding section and build a comfortable road network.7.Update the attributes of different road segments,search for the shortest path,comfortable path and high-frequency path.