Name
Abstract | ||
|---|---|---|
Estimation of link travel times from measured values is a critical service of floating car information systems (probe car
information systems), and the results of estimation are utilized to improve quality of vehicle navigation. Because actual
link travel times are affected by various factors, such as time period, traffic volume, and weather, these factors should
be considered to estimate the link travel time. Also, they should be considered to estimate the minimum amount of data needed
to estimate link travel time while maintaining accuracy to optimize the floating car systems. In the systems currently being
implemented, however, effects of the weather are not utilized to estimate the link travel time, and the minimum amount of
necessary data has not been studied in detail. This paper reveals the effect of weather differences on estimated link travel
time using data actually obtained by floating car systems. In particular, this paper pays attention to effects of snowfall.
This paper also evaluates the amount of data required to obtain estimated link travel times considering effects of various
factors. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s13177-010-0015-8 | Int. J. Intelligent Transportation Systems Research |
Keywords | Field | DocType |
Floating car system, Navigation, Link travel time, Estimation | Information system,Simulation,Floating car data,Transport engineering,Traffic volume,Engineering,Travel time | Journal |
Volume | Issue | ISSN |
8 | 3 | 1868-8659 |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masakuni Tsuge | 1 | 1 | 0.39 |
| Masataka Tokunaga | 2 | 1 | 0.39 |
| Keisuke Nakano | 3 | 212 | 24.62 |
| Masakazu Sengoku | 4 | 33 | 15.91 |