Name
Abstract | ||
|---|---|---|
Uncertainty is a key factor that prevents a commuter from using public transportation system. More and more transportation agencies are incorporating real-time Trip Planners to empower commuters with opportune information. However, such systems require continuous status updates from the vehicles and involves expensive communication cost. In this paper we propose an architecture that takes advantage of Machine-to-Machine Communication concepts and provides a degree of intelligence to the vehicles, to alleviate unnecessary communication between the vehicles and the Trip Planner. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/PADSW.2014.7097902 | Parallel and Distributed Systems |
Keywords | Field | DocType |
intelligent transportation systems,public transport,road vehicles,M2M-enabled real-time trip planner,architecture,commuter uncertainty,intelligent transportation system,machine-to-machine communication,public transportation system,transportation agencies,vehicles status updates,Intelligent Transportation Systems,Machine-to-Machine Communication,Trip Planner | Machine to machine,Architecture,Advanced Traffic Management System,Computer science,Planner,Public transport,Intelligent transportation system,Distributed computing | Conference |
ISSN | Citations | PageRank |
1521-9097 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Cerritos | 1 | 0 | 0.34 |
| Fuchun Joseph Lin | 2 | 96 | 20.75 |