scholarly journals Travel time forecasting from clustered time series via optimal fusion strategy

2016 ◽  
Author(s):  
Andres Ladino ◽  
Alain Kibangou ◽  
Hassen Fourati ◽  
Carlos Canudas de Wit
Keyword(s):  
Time Series ◽  
Travel Time ◽  
Fusion Strategy ◽  
Optimal Fusion ◽  
Travel Time Forecasting

scholarly journals Trip Travel Time Forecasting Based on Selective Forgetting Extreme Learning Machine

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhiming Gui ◽  
Haipeng Yu
Keyword(s):  
Travel Time ◽  
Extreme Learning Machine ◽  
Road Networks ◽  
Time Estimation ◽  
Learning Ability ◽  
Prediction Algorithm ◽  
Travel Time Estimation ◽  
Trace Data ◽  
Learning Machine ◽  
Travel Time Forecasting

Travel time estimation on road networks is a valuable traffic metric. In this paper, we propose a machine learning based method for trip travel time estimation in road networks. The method uses the historical trip information extracted from taxis trace data as the training data. An optimized online sequential extreme machine, selective forgetting extreme learning machine, is adopted to make the prediction. Its selective forgetting learning ability enables the prediction algorithm to adapt to trip conditions changes well. Experimental results using real-life taxis trace data show that the forecasting model provides an effective and practical way for the travel time forecasting.

scholarly journals A Kind of Urban Road Travel Time Forecasting Model with Loop Detectors

2016 ◽  
Vol 12 (2) ◽  
pp. 9043835 ◽  
Author(s):  
Guangyu Zhu ◽  
Li Wang ◽  
Peng Zhang ◽  
Kang Song
Keyword(s):  
Travel Time ◽  
Forecasting Model ◽  
Urban Road ◽  
Loop Detectors ◽  
Travel Time Forecasting

scholarly journals Road Short-Term Travel Time Prediction Method Based on Flow Spatial Distribution and the Relations

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Mingjun Deng ◽  
Shiru Qu
Keyword(s):  
Time Series ◽  
Spatial Distribution ◽  
Travel Time ◽  
Nonparametric Regression ◽  
Nearest Neighbor ◽  
Nearest Neighbor Search ◽  
Short Term ◽  
Combination Model ◽  
The Road ◽  
Neighbor Search

There are many short-term road travel time forecasting studies based on time series, but indeed, road travel time not only relies on the historical travel time series, but also depends on the road and its adjacent sections history flow. However, few studies have considered that. This paper is based on the correlation of flow spatial distribution and the road travel time series, applying nearest neighbor and nonparametric regression method to build a forecasting model. In aspect of spatial nearest neighbor search, three different space distances are defined. In addition, two forecasting functions are introduced: one combines the forecasting value by mean weight and the other uses the reciprocal of nearest neighbors distance as combined weight. Three different distances are applied in nearest neighbor search, which apply to the two forecasting functions. For travel time series, the nearest neighbor and nonparametric regression are applied too. Then minimizing forecast error variance is utilized as an objective to establish the combination model. The empirical results show that the combination model can improve the forecast performance obviously. Besides, the experimental results of the evaluation for the computational complexity show that the proposed method can satisfy the real-time requirement.

A Study on the Construction of Past Travel Time Pattern for Freeway Travel Time Forecasting—Focused on Loop Detectors -

2007 ◽  
Vol 11 (1) ◽  
pp. 14-29 ◽  
Author(s):  
Dong-ho Kim ◽  
Dongjoo Park ◽  
Jeong-hyun Rho ◽  
Seungkirl Baek ◽  
Seong Namkoong
Keyword(s):  
Travel Time ◽  
Time Pattern ◽  
Loop Detectors ◽  
Travel Time Forecasting

Empirical Analysis of a Travel-Time Forecasting Model

2007 ◽  
Vol 39 (4) ◽  
pp. 397-417 ◽  
Author(s):  
Jinsoo You ◽  
Tschangho John Kim
Keyword(s):  
Travel Time ◽  
Empirical Analysis ◽  
Forecasting Model ◽  
Travel Time Forecasting

scholarly journals A traffic flow simulator for short-term travel time forecasting

2002 ◽  
Vol 36 (3) ◽  
pp. 265-291 ◽  
Author(s):  
William H. K. Lam ◽  
K. S. Chan ◽  
John W. Z. Shi
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Short Term ◽  
Flow Simulator ◽  
Travel Time Forecasting
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