How to predict the bus arrival time accurately is a crucial problem to be solved in Internet of Vehicle. Existed methods cannot solve the problem effectively for ignoring the traffic delay jitter. In this paper,a thre...How to predict the bus arrival time accurately is a crucial problem to be solved in Internet of Vehicle. Existed methods cannot solve the problem effectively for ignoring the traffic delay jitter. In this paper,a three-stage mixed model is proposed for bus arrival time prediction. The first stage is pattern training. In this stage,the traffic delay jitter patterns(TDJP)are mined by K nearest neighbor and K-means in the historical traffic time data. The second stage is the single-step prediction,which is based on real-time adjusted Kalman filter with a modification of historical TDJP. In the third stage,as the influence of historical law is increasing in long distance prediction,we combine the single-step prediction dynamically with Markov historical transfer model to conduct the multi-step prediction. The experimental results show that the proposed single-step prediction model performs better in accuracy and efficiency than short-term traffic flow prediction and dynamic Kalman filter. The multi-step prediction provides a higher level veracity and reliability in travel time forecasting than short-term traffic flow and historical traffic pattern prediction models.展开更多
The fundamental frequency F0 patterns of Chinese were compared with that of English, Japanese, and German at both macro (passage) and micro (fundamental period) levels by using a Laryngograph in this paper. 14 Chinese...The fundamental frequency F0 patterns of Chinese were compared with that of English, Japanese, and German at both macro (passage) and micro (fundamental period) levels by using a Laryngograph in this paper. 14 Chinese and 14 foreigners were selected as speakers. The results show that: 1 .The 90% pitch range of Chinese is somewhat larger than that of other languages studied in Hz but it is near the same for all languages in relative scale logF0, 2. The average signed jitter factor in connected speech is neariy the same, about 3.2%, for both male and female speakers and for dif ferent languages studied; 3. The (-)jitter facior is highcr than (+) jitter factor in connected speech; 4. The rate of F0 fluctuation (peak and valley) for Chinese is higher than that for English; 5.The speech rated in syllables per second of Chinese speakers is lower than that of foreign speakers.展开更多
基金National Science and Technology Major Project(2016ZX03001025-003)Special Found for Beijing Common Construction Project
文摘How to predict the bus arrival time accurately is a crucial problem to be solved in Internet of Vehicle. Existed methods cannot solve the problem effectively for ignoring the traffic delay jitter. In this paper,a three-stage mixed model is proposed for bus arrival time prediction. The first stage is pattern training. In this stage,the traffic delay jitter patterns(TDJP)are mined by K nearest neighbor and K-means in the historical traffic time data. The second stage is the single-step prediction,which is based on real-time adjusted Kalman filter with a modification of historical TDJP. In the third stage,as the influence of historical law is increasing in long distance prediction,we combine the single-step prediction dynamically with Markov historical transfer model to conduct the multi-step prediction. The experimental results show that the proposed single-step prediction model performs better in accuracy and efficiency than short-term traffic flow prediction and dynamic Kalman filter. The multi-step prediction provides a higher level veracity and reliability in travel time forecasting than short-term traffic flow and historical traffic pattern prediction models.
文摘The fundamental frequency F0 patterns of Chinese were compared with that of English, Japanese, and German at both macro (passage) and micro (fundamental period) levels by using a Laryngograph in this paper. 14 Chinese and 14 foreigners were selected as speakers. The results show that: 1 .The 90% pitch range of Chinese is somewhat larger than that of other languages studied in Hz but it is near the same for all languages in relative scale logF0, 2. The average signed jitter factor in connected speech is neariy the same, about 3.2%, for both male and female speakers and for dif ferent languages studied; 3. The (-)jitter facior is highcr than (+) jitter factor in connected speech; 4. The rate of F0 fluctuation (peak and valley) for Chinese is higher than that for English; 5.The speech rated in syllables per second of Chinese speakers is lower than that of foreign speakers.
