Integration of Traffic Camera Network & User Generated Content for Traffic Load Balancing System

Ary Setijadi Prihatmanto

Abstract


The ability to generate a meaningful big data through media opens many possibilities that never existed before. ln traffic management system, there are systems that use user generated contents to bring information about real-time traffic condition, such as waze (www.waze.com). However, those applications do not utilize the available traffic camera network. Second, they do not also utilise all that information to predict the future traffic condition through simulation and use it to give user traffic suggestion that potentially balance the traffic load. The paper describes the project to develop the integration of traffic camera network & user device's generated content to bring more robust traffic information. Furthermore, by using those information to calibrate traffic micro simulation in real-lime, the system has prediction capability to generate better suggestion for the user and even optimallv balance the traffic load.


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