Authors :
Kaustubh Kasture; Kinjalk Kamble; Vanshika Pandey; Prof. (Jaya) Dr. Ayesha Butalia
Volume/Issue :
Volume 7 - 2022, Issue 7 - July
Google Scholar :
https://bit.ly/3IIfn9N
DOI :
https://doi.org/10.5281/zenodo.6972692
Abstract :
Nowcasting is the prediction of the present and
the very near future of an indicator. Traffic Nowcasting is
the prediction of various traffic factors occurring in the
near future. This paper describes our approach, to predict
short term city-wide high resolution traffic states with the
static and dynamic information provided. We achieve this
by utilizing the U-Net architecture to build a deep CNN
model; test it on different cities to evaluate accuracies; and
average the results at the end. With this, the model is better
trained and will return more accurate, generalized results
for different cities. The models are trained on traffic
datasets provided by Traffic4Cast 2021 challenge. Thus,
the aim of this project is to build a system for predicting
and calculating traffic flow volume, heading and speed on
a high-resolution whole city map by predicting the traffic
states in the near future. The system could be utilized in a
Traffic Prediction System and its scope entirely lies within
traffic prediction.
Keywords :
Traffic Nowcasting, CNN, APU-Net, Deep Learning
Nowcasting is the prediction of the present and
the very near future of an indicator. Traffic Nowcasting is
the prediction of various traffic factors occurring in the
near future. This paper describes our approach, to predict
short term city-wide high resolution traffic states with the
static and dynamic information provided. We achieve this
by utilizing the U-Net architecture to build a deep CNN
model; test it on different cities to evaluate accuracies; and
average the results at the end. With this, the model is better
trained and will return more accurate, generalized results
for different cities. The models are trained on traffic
datasets provided by Traffic4Cast 2021 challenge. Thus,
the aim of this project is to build a system for predicting
and calculating traffic flow volume, heading and speed on
a high-resolution whole city map by predicting the traffic
states in the near future. The system could be utilized in a
Traffic Prediction System and its scope entirely lies within
traffic prediction.
Keywords :
Traffic Nowcasting, CNN, APU-Net, Deep Learning