Name
Abstract | ||
|---|---|---|
One of the major objectives of Advanced Traffic Management Systems (ATMS) is to reduce traffic congestion in urban environments by improving the efficiency of utilization of existing infrastructures. Many creative and efficient technologies have been developed over the years. Although, commuters especially drivers take a critical part in containing traffic congestion problems, they are playing a passive role in the traffic-management ecosystem. Considerably, this is due to the information asymmetry between ATMS decision makers and commuters; what is missing is a matching mechanism to create a bridge between information providers and information consumers in a mobility environment. We solve this dilemma through implementing visual pertinent information services for commuters. We use probe vehicles to estimate the real-time traffic flow and disseminate this information effectively to users' mobile devices. We propose a 2-level indexing scheme to effectively index the grid cells which contain the spatial information. Processed information is disseminated to users through wireless means and presented in a user friendly interface on users' mobile devices. We have implemented a location-aware mobile application and back-end services. Experimental results show that our system is effective and scalable. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/APSCC.2009.5394103 | APSCC |
Keywords | Field | DocType |
mobile devices,location aware mobile application,information asymmetry,probe vehicle,real-time traffic flow,traffic flow prediction,traffic engineering computing,advanced traffic management systems,mobility environment,back end services,traffic management ecosystem,spatio-temporal,visual pertinent information services,2-level indexing scheme,urban environment,information services,matching mechanism,road traffic,mobile computing,grid cells,mobile services,traffic congestion problem,decision maker,indexation,spatial information,traffic flow,indexes,traffic management,advanced traffic management system,mobile device,mobile communication,data mining,real time systems | Mobile computing,Information system,Traffic flow,Advanced Traffic Management System,Computer science,Computer network,Dissemination,Mobile device,Traffic congestion,Mobile telephony | Conference |
ISBN | Citations | PageRank |
978-1-4244-5336-8 | 2 | 0.43 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wee Siong Ng | 1 | 397 | 34.12 |
| Justin Cheng | 2 | 799 | 34.10 |