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标题: Traffic Prediction for Intelligent Transportation System using Machine Learning [打印本页]
作者: 杨利霞    时间: 2020-11-10 16:06
标题: Traffic Prediction for Intelligent Transportation System using Machine Learning
Traffific Prediction for Intelligent Transportation

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System using Machine Learning
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This paper aims to develop a tool for predicting  d  Y/ n; s9 \7 I3 x
accurate and timely traffific flflow Information. Traffific Environment7 u6 B7 x6 p( I5 ^% V  W! j
involves everything that can affect the traffific flflowing on the
* p1 v& d; y) Xroad, whether it’s traffific signals, accidents, rallies, even repairing  U- V0 \- S. J8 D9 v# ]" Z
of roads that can cause a jam. If we have prior information
! S2 |/ P: r. T- c6 twhich is very near approximate about all the above and many
& b" n+ Y; Q6 Y9 Nmore daily life situations which can affect traffific then, a driver1 ]6 A& E+ K+ \. K3 m+ O5 y1 z( E  e! j
or rider can make an informed decision. Also, it helps in the
0 ~0 F1 n2 }$ [9 I" P! Ffuture of autonomous vehicles. In the current decades, traffific data& {, Y# N; _7 _/ Q" W8 G* @
have been generating exponentially, and we have moved towards
5 a, @# ]( Y% W1 L' rthe big data concepts for transportation. Available prediction& d$ J6 }8 i. U) c9 q
methods for traffific flflow use some traffific prediction models and
6 w! M$ @9 N0 hare still unsatisfactory to handle real-world applications. This fact
; w+ N- ?/ r0 B; Z  W, Xinspired us to work on the traffific flflow forecast problem build on
! i( S' ?* N3 x0 [! @  X- X" dthe traffific data and models.It is cumbersome to forecast the traffific
4 A! z1 k, X9 s* @) L( i; {) Tflflow accurately because the data available for the transportation" e8 t7 ]+ p4 O+ e( H
system is insanely huge. In this work, we planned to use machine( W0 h! Z" ]4 B: Z3 q0 u
learning, genetic, soft computing, and deep learning algorithms6 j6 f2 B6 u3 ]7 J2 \$ f7 H" H- B
to analyse the big-data for the transportation system with; n" E# @$ e, y# |: u, ]
much-reduced complexity. Also, Image Processing algorithms are
0 `5 _* t! @. i! Q- y" _! _: `involved in traffific sign recognition, which eventually helps for the
: F/ q  P3 ]- L1 |& y! t2 Y0 Q9 Zright training of autonomous vehicles.
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