… --- in addition to the hours allocated to related topics such as “… hours allocated to Algorithms
topics represent our estimates … of hours to master a topic is, therefore, impossible to estimate …

… driving intention recognition was presented. A double-layer brake driving intention recognition
model based on … Based on recognized driving intention and vehicle speed, the distribution …

… method classification of image super-resolution reconstruction. Secondly, the spatial
methods … of the interpolation-based method and learningbased method are sorted out. Then, …

… We estimate there are at least a half million electric vehicle chargers in the United States
today. ● The overwhelming majority of these are home chargers. Exact figures with respect to …

… model is applied to Xi'an metro line 3 as an example. The results indicate that the improved
model can estimate … A study of the dependency of travel time on traffic flow[J].China Journal …

… This method also faced same problem like first method. In order to predict travel time
more accurately, this thesis propose a Hybrid Travel-Time Prediction Approach Based on …

… forest prediction model of energy consumption for electric buses considering driving style[J].…
The nonlinear time lag multivariable grey prediction model based on interval grey numbers …

… some revised methods of grey travel time prediction model because there are … travel time,
this study extends to develop the model of prediction of minutes, prediction of hours, prediction …

… and time-varying differences of different passenger flows of bus routes and stops, combined
with deep learning theory, a bus passenger flow classification prediction model based on a …

… bus arrival-time prediction models based on multi-route … hybrid models, consisting of running
time prediction submodels and stop time prediction submodels, aim to minimize arrival time …