A Hybrid Prediction Algorithm for Traffic Speed Data Prediction
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 101 === Many types of data can be regarded as time series data. Therefore time series data predictions are applied in a wide range of domains, such as investment, traffic prediction, etc. Traffic status prediction can be used for congestion avoidance and travel plann...
Main Authors: | Haung, Bo-Wei, 黃柏崴 |
---|---|
Other Authors: | Peng, Wen-Chih |
Format: | Others |
Language: | en_US |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/72016567401844091245 |
Similar Items
-
Redundancy-Reducing and Holiday Speed Prediction Based on Highway Traffic Speed Data
by: Zhigang Gao, et al.
Published: (2019-01-01) -
Traffic Speed Prediction for Highway Operations Based on a Symbolic Regression Algorithm
by: Li Linchao, et al.
Published: (2017-09-01) -
Short-term traffic speed prediction under different data collection time intervals using a SARIMA-SDGM hybrid prediction model.
by: Zhanguo Song, et al.
Published: (2019-01-01) -
Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas
by: Chughtai, J.-U.-R, et al.
Published: (2022) -
Prediction of losses of railways if traffic speed is limited
by: N.B. Kurgan, et al.
Published: (2012-04-01)