traffic congestion estimator

8/16/2019 Traffic Congestion Estimator

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PFIEV Student Research 2015

Traffic Density Estimation System

Advisors:

Dr. Chế Viết Nhật AnhDr. Trương Công Dung Nghi

Group members:

Nguyễn Văn Dương 51100674

Trịnh Qu! Anh 41"0011#


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Content

2

Motivation A

Related work B

Proposed method C

Project timeline E


!ud"et D


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A !oti"ation

#PFIEV Student Research 201


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A !oti"ation

$PFIEV Student Research 201 Source: earlywarning.com


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A !oti"ation

% 87%: have been stuck in roadway traffic in the last threeyears

% 57%: traffic jam has negatively affected their health% 2%: traffic jam has negatively affected work or school

!erformance

% "hina s!ends #2% $& on infrastructure '(S: 2.)%*


Source: +,- $lobal "ommuter ain Study eveals /raffic "risis in 0ey +nternational "ities 1#


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A !oti"ation

&PFIEV Student Research 201


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A !oti"ation

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$T% &$nt'((ig'nt Tr)n*+,rt)ti,n %y*t'-/% +/S technologies: wireless3 floating car data3 sensing technology3

i', 'hi!(' 't'!ti,n


4+& 6!ass in ew 9ork Source: 22 ';iki!edia*

Saw cut loo! detector Source: 22 ';iki!edia*


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A !oti"ation

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CCTV &C(,*'2Cir!uit T'('Vi*i,n/


)losed circuit *V in MunichSource: &ator)) ';iki!edia*

+utomatic speed en,orcement in !rasilia

Source: -ario ';iki!edia*

Red li"ht camera in -hio

Source: &erek


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A !oti"ation

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Source: anninhthudo.vn

Source: anninhthudo.vn

Source: vovgiaothong.vn


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A !oti"ation

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Source: avalonbiometrics.com


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A !oti"ation

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A !oti"ation

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Content

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Motivation A

Re#ated $or% B

Proposed method C

Project timeline D


!ud"et C


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Content

20

Motivation A

Related work B

Pro'osed method C

Project timeline E


!ud"et D


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C Pro'osed method

21PFIEV Student Research 201


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C Pro'osed method


=,)(/% > traffic congestion estimation method which is develo!ed based

on s!ecific conditions in ?ietnam

% > !a!er for PFIEV Student Research Conference (PFIEV SRC)or Facut! of Eectrica and Eectronics En"ineerin" AnnuaStudent Research Conference (FEEE SRC)

>'?uir'-'nt/% /he system must have the ability to detect traffic vehicles

including car3 motorbike@% /he system must be robust to the change of illumination changes

'day3 night3 twilight3 and cloudy3 sunny@*


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C Pro'osed method

2#PFIEV Student Research 201

%y*t'- *+'!ii!)ti,n*/


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C Pro'osed method

2$PFIEV Student Research 201

@*ti-)ting tr)i! 'n*ity/% $-- '$aussian -iAture -odel*


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C Pro'osed method


@*ti-)ting th' )'r)g' *+''/% =!tical flow:

% Bucas 6 0anade

Source: CoDng "Eng BFnh3 BuGn vHn tIt nghiJ!3 2K#L


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C Pro'osed method

2&PFIEV Student Research 201

@*ti-)ting tr)i! !,ng'*ti,n (''(/


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Content

2'

Motivation A

Related work B

Proposed method C

Project timeline E


&ud(et D


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D &ud(et

PFIEV Student Research 201 2(


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Content

2.

Motivation A

Related work B

Proposed method C

Pro)ect time#ine E


!ud"et D


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E Pro)ect time#ine

#0PFIEV Student Research 201


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Traffic Density Estimation System

#1

>''r'n!'*/1# +,- $lobal "ommuter ain Study eveals /raffic "risis in 0ey +nternational "ities

12 +nternational conference: M=!!ortunities and challenges for sustainable develo!mentN3 Co "hi -inh "ity(niversity of Social Science and Cumanity3 2KK.

1O htt!:PPen.wiki!edia.orgPwikiP+ntelligentQtrans!ortationQsystem

1L htt!:PPen.wiki!edia.orgPwikiP/rafficQenforcementQcamera15 htt!:PPvovgiaothong.vnPgiao6thong6do6thiP%2%8K%"bo6nao%2%8K%&6dieu6hanh6duongRcaoR tocP7KK6#L

1) orikli3 4atih3 and iaokun Bi. T/raffic congestion estimation using C-- models without vehicletracking.T + +ntelligent ?ehicles Sym!osium3 2KKL.

17 ,. -aurin3 =. -asoud3 . a!anikolo!oulos3 -onitoring crowded traffic scenes. + +ntUl "onference on+ntelligent /rans!ortation Systems3 2KK23 #62L.

18 osawang3 iti!hoom3 et al. Terce!tion6based oad /raffic "ongestion "lassification using eural etworks.T +nternational "onference on ;orld "ongress of ngineering ';" 2KK*3 Bondon3 ngland.2KK.



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traffic congestion estimator

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