A Solution to the Congestion Problem: Profiles Driven Trip Planning

Abstract

Modern transportation systems suffer from a variety of problems. The most notable among these problems is traffic congestions. Traffic congestions have been a subject for much of research discussing the impact of the traffic on the environment, the financial cost it incurs, and the safety risks it poses. The research of this paper alternatively suggests a solution model to mitigate the congestion problem: the personalization of the trip planning process based on the social habits of the travellers. These habits can be derived from monitoring daily activities, calendar events, and social feeds from the various outlets of social media. The different sentiments of the travellers can be processed to generate several planning profiles. Travellers will be able to choose the profiles representing their personalities and subject them to further customization. The customized profile can be considered as an avatar. As the avatar assumes the traveller's planning persona, it will start to automatically plan the daily trips on behalf of the traveller. To fully grasp the functionality of the proposed approach, Game theory is used to analyze the new trip planning approach and its effect on the traffic flow.