Name
Abstract | ||
|---|---|---|
In a large-scale wireless sensor traffic network, collecting and processing of the global real-time traffic information are often unreliable. Making real-time navigation decision becomes an arduous task. To address this issue, an efficient wireless-sensor-network-based real-time vehicle navigation algorithm is proposed, in which multiple local traffic information is considered to make a navigation decision in a quick and accurate way. At the same time, a general distance metric is defined for the processing of both exact and fuzzy data. In addition, the algorithm can provide various navigation decisions according to the choice of different attributes to meet the diverse navigation requirements of drivers. Simulation results show the suitability and efficiency of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TITS.2012.2201478 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
automated highways,fuzzy set theory,traffic information systems,wireless sensor networks,exact data,fuzzy data,global real-time traffic information,large-scale wireless sensor traffic network,real-time navigation decision,sensor network environments,wireless-sensor-network-based real-time vehicle navigation algorithm,Hybrid multi-attribute decision making,real-time vehicle navigation,wireless sensor networks (WSNs) | Algorithm design,Real-time data,Computer science,Decision support system,Turn-by-turn navigation,Metric (mathematics),Algorithm,Fuzzy set,Mobile robot navigation,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | ISSN |
13 | 4 | 1524-9050 |
Citations | PageRank | References |
13 | 0.73 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen, C.L.P. | 1 | 927 | 35.02 |
| Jin Zhou | 2 | 13 | 0.73 |
| Wei Zhao | 3 | 3532 | 404.01 |