Mobility-Aware Urban Computing:
making hidden mobility patterns visible

   Project Overview

Widespread and large-scale deployment of sensors and mobile devices opens up new possibilities for wide-area context-aware services, e.g., context-based advertisement and ubiquitous taxi dispatch service. The wide-area context-aware services enable an unprecedented business model which uses various context data to adapt to real-time business changes and to provide a value-added situation-aware service. To realize such services, high-performance context monitoring is considered as the most demanding and challenging technology. It is mainly due to a huge amount of input context data, diverse interests of each service, and real-time requirement of context-aware services.
   We have designed and implemented Mobiiscape, a service infrastructure for wide-area context-aware services. In the proposed architecture, we have developed a scalable and high-performance context monitoring system by exploiting differential-processing and pre-computing mechanisms. Also, we have developed an intuitive and expressive wide-area context monitoring language with which developers focus on service logic itself.

   Example Applications

  • Ubiquitous taxiCab Service (UbiCab):
    • UbiCab is an intelligent taxi dispatching service in a city. If we can have a city-wide view of passensers' locations and mobilit patterns such as stading in line in front of the train station, we can intelligently dispatch taxis to potential customers. For this purpose, we employ virutal taxi zones that are pre-designated city regions where people could possibly stand and try to hire taxis, e.g., sidewalks that lie along major roads, regions around city landmakrs like the City Hall or train stations.
  • Location-based Advertising:

   Demo Videos