Traffic Prediction for Intelligent Transportation System using Machine Learning

杨利霞

Traffific Prediction for Intelligent Transportation

' J4 E$ v) ]2 A$ \8 B) i  E( ]* A! w

System using Machine Learning

, s3 c! K4 h7 [6 j0 L% a+ a
8 H+ E0 H/ K% P& H
# x9 W; R# X1 V: g, v1 `1 T0 w2 d
8 z# Q+ s' y8 ~

This paper aims to develop a tool for predicting
accurate and timely traffific flflow Information. Traffific Environment
* A" K( m! m! b7 L8 Q' O( cinvolves everything that can affect the traffific flflowing on the
7 U$ u; R' k, p$ Q3 Iroad, whether it’s traffific signals, accidents, rallies, even repairing
of roads that can cause a jam. If we have prior information
! r1 m8 E* q  w+ N7 g6 ?which is very near approximate about all the above and many
more daily life situations which can affect traffific then, a driver
0 J  W  J1 i$ y8 n+ b8 c/ yor rider can make an informed decision. Also, it helps in the
future of autonomous vehicles. In the current decades, traffific data
, K! ]( [) I& p2 W! R6 M( Yhave been generating exponentially, and we have moved towards
) I7 W( ?# W5 L5 c, b/ ]the big data concepts for transportation. Available prediction
methods for traffific flflow use some traffific prediction models and
7 Z, f9 E+ m$ \are still unsatisfactory to handle real-world applications. This fact
inspired us to work on the traffific flflow forecast problem build on
the traffific data and models.It is cumbersome to forecast the traffific
7 Q4 Q9 A0 S0 a* J! Cflflow accurately because the data available for the transportation
- Y: N/ A  d9 D! j7 g: x. bsystem is insanely huge. In this work, we planned to use machine
5 A4 `9 |1 F/ u, |& }learning, genetic, soft computing, and deep learning algorithms
) [3 G/ `( `% k% j9 bto analyse the big-data for the transportation system with
  L( n. H6 g7 S; h( Gmuch-reduced complexity. Also, Image Processing algorithms are
0 E8 X# [( }* binvolved in traffific sign recognition, which eventually helps for the
0 o/ x# s' w' ?- C9 S, F: P5 kright training of autonomous vehicles.
+ Q7 P8 Y1 }$ {  {  L5 r