Reducing the size of probedata for telematics services by smartphones
| Project/Area Number |
25330119
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Information network
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| Research Institution | Kanagawa Institute of Technology |
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Principal Investigator |
Kiyohara Ryozo 神奈川工科大学, 情報学部, 教授 (70646637)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | テレマティクス / ITS / データ圧縮 / シミュレーション / ＩＴＳ / テレマティクスサービス / モバイルコンピューティング |
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| Outline of Final Research Achievements |
In-vehicle information devices such as car navigation systems and smartphones are now widely used and they provide drivers with a lot of information, such as traffic jam information, weather forecast, etc., by a communication function such as cellular networks. These services gather a lot of information from cars or traffic sensors on the road, which results in many small pieces of data being transmitted over cellular networks. We propose a method that, by predicting car behavior, reduces the amount of such data. We observe the amount of traffic data, simulate vehicle behavior, and evaluate our models. Our conclusions show good results.
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Report
(4 results)
Research Products
(12 results)
