Design And Implementation Of Travel Application With Real Time Information And User Guidance

Applications of new technology prompt the invention of location services,which are widely used in military,communication and some related applications.With the developing of location-based service,getting location through sensors is becoming more and more lightweight and accurate.Some governments and public transit companies began to lay emphasis on location-based service,used it to manage transit network and provided better service to customers.Nowadays,more and more buses have installed GPS sensors and these sensors will report their location in a specific rate.Companies normally use these location data to control bus network,plan bus lines,detect accident and so on.But customers barely have chance to get and utilize these real time data.The project in my paper is an application that deeply utilizes bus real time data and together with static data in the transit system(like bus route,schedule and so on),it provides a excellent help in user's travel life.Comparing with other travel application in the market,our application widely uses real time bus data and provides a more dynamic and intelligent help for travelers.The application contains trip search,active trip,time table,favorite and some other basic components.Active trip is the most creative part which contains algorithm for visualizing interrupted bus data into a moving object,algorithm based on distance between point and polygon for user guidance,comparison between user's state and real time data and so on.In order to have a more precise prediction to the arriving time,the application will also learn user's behavior through user's activity when using the app by building speed distribute model.In order to to help users have a better experience in their travels and daily life,the application combines real time data and user's behavior to analyze key time points,probability and some other KPIs.This is a corporate project between Ericsson and ?stg?ta Trafiken,contains front-end(IOS,Android and so on)and a back-end for APIs and big data analyze.This paper mainly focus on IOS part.