WELCOME TO PTV USER GROUP MEETING INDIA 2017

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www.ptvgroup.com Seite 1 www.ptvgroup.com WELCOME WELCOME TO PTV USER GROUP MEETING INDIA 2017

Transcript of WELCOME TO PTV USER GROUP MEETING INDIA 2017

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WELCOME

WELCOME TO

PTV USER GROUP MEETING INDIA 2017

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WE PLANAND OPTIMISE

EVERYTHINGTHAT MOVES PEOPLE

AND GOODS

WORLDWIDE.

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ABOUT PTV GROUP

805EMPLOYEES

ACROSS

THE WORLD

17SUBSIDIARIES

104MILLION EUROS

TURNOVER

ORGANIC GROWTH > 10% P.A.

GLOBAL MARKET LEADER

EUROPE

ON 5 CONTINENTS

ASIA AUSTRALIA NORTH/ LATIN AMERICA

OVER 5,500 CUSTOMERS LOCATED IN

180 COUNTRIES

SERVED FROM 17 SUBSIDIARIES

Fiscal year 15-16

FOUNDED IN 1979

WE DELIVER SOFTWARE, DATA

AND METHODOLOGIES

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WE PLAN AND OPTIMISE

EVERYTHING WORLDWIDE WHICH

MOVES PEOPLE AND GOODS.

TRAFFIC & PLANNINGLOGISTICS &

OPERATIONS

REAL-TIME TRAFFIC

MANAGEMENT & ITS

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VEHICLE ACTUATED SIGNAL CONTROL

INTRODUCING PTV BALANCE AND PTV EPICS

Entire Priority Intersection Control System - PTV Epics

local optimization of

green time splits, stage sequence

considering coordination

full transit signal priority

optimizes every second

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VEHICLE ACTUATED SIGNAL CONTROL

INTRODUCING PTV BALANCE AND PTV EPICS

Balancing Adaptive Network Control Method - PTV Balance

network wide optimization of

green time splits and offsets

optimizing coordination

optimizes every 5 minutes

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TRANSPORT MODEL + REAL TIME DATA

OFFLINE

TRANSPORT MODEL REAL-TIME DATA

ONLINE

THE FUSION of transport models capable of PREDICTION WITH THE ONLINE REAL-TIME DATA will

provide INFORMATION ON EXISTING CONDITIONS would create a REAL-TIME PREDICTION

PLATFORM.

DETECTORS

ANPR

FCD

MOBILE PHONE

DATA INPUT DECISION SUPPORT TOOL – LIVE MODEL

DATA FUSION

MODEL UPDATE

REAL-TIME

ROLLING HORIZON

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ACTIVITIES IN INDIA FOR SMART SIGNALLING

WITH PTV BALANCE AND PTV EPICS

WHO KEEPS CITY’S RHYTHM FLOWING?

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CHANDIGARH STUDY SECTION

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NETWORK LEVEL SUMMARY PEAK HOUR TRAFFIC BEFORE &

AFTER

Traffic increase by 6% in Network level.

DurationNetwork Peak

Volume - Before

Network Peak

Volume - After

Network

Peak HourIncrease in Traffic

Morning 18788 22173 9.15-10.15 18.0%

Afternoon 18021 18682 13.45-14.45 3.6%

Evening 19143 20885 17.15-18.15 9.1%

Total Network Volume-

Before

Total Network Volume-

AfterIncrease in Traffic (%)

2,06,720 2,19,731 6.3%

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RESULT COMPARISON - CHANDIGARH

Travel Time from all the observed journey routes are decreased by 20%

compared to Fixed Time Controller.

0

200

400

600

Junction 32 -Gurudwara

chowk

GurudwaraChowk -

Junction 32

Junction 32 -sector 17

Sector 17 -Junction 32

Sector 16 -SarovarMohali

SarovarMohali -

Sector 16

Jan marg -Sarovar Lake

Sarovar Lake -Jan marg

GurudwaraChowk -

Sector 34

Sector 34 -Gurudwara

Chowk

Tim

e in

sec

Travel Time Comparison-Chandigarh

Fixed Time Epics+Balance

0

5

10

15

20

25

30

35

40

45

Junction 32 -Gurudwara

chowk

GurudwaraChowk -

Junction 32

Junction 32 -sector 17

Sector 17 -Junction 32

Sector 16 -Sarovar Mohali

Sarovar Mohali- Sector 16

Jan marg -Sarovar Lake

Sarovar Lake -Jan marg

GurudwaraChowk - Sector

34

Sector 34 -Gurudwara

Chowk

Seconds

Journey Delay-Chandigarh

Fixed Time Epics+Balance

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RESULT COMPARISON -CHANDIGARH

An average queue length is decreased by 50% compared to fixed time signal.

From 96 seconds to 57 sec average network delay is observed from balance model.

0

20

40

60

80

100

120

Labour chowk Piccadily Kissan bhavan

Mete

rs

Average Queue Length-Chandigarh

Fixed Time Epics+Balance

Fixed Time Signal

ControlEpics + Balance

0

20

40

60

80

100

120

Delay/Vehicle (Sec)

Se

co

nd

s

Average Network Delay/Vehicle-Chandigarh

Fixed Time Signal Control

Epics + Balance

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

40.0

Speed (KMPH)

Sp

ee

d (

km

ph

)

Average Network Speed-Chandigarh

Overall network speed

has been increased from

28 kmph to 34 kmph.

Improvement of 20%.

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PUNE – STUDY AREA

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RESULT COMPARISON -PUNE

Travel Time from all the observed journey routes are decreased by 32%

compared to Fixed Time Controller.

100

300

500

700

900

Kandujibaba to Karve Road Karve to Kandhujibaba DP to Prabhat Road Garware to Mandir

Tra

vel T

ime in

Seco

nd

s

Travel Time Sections

Travel Time Comparison Results-Pune

Observed Average Simualted Balance

0

50

100

150

200

250

300

350

Kandujibaba to Karve Road Karve to Kandhujibaba DP to Prabhat Road Garware to Mandir

Seco

nd

s

Average Journey Delay Comparison-Pune

Base Model Balance/Epics

The average journey delay is 32% decreased.

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RESULT COMPARISON –PUNE

An average queue length is decreased by 24% compared to base model.

0

20

40

60

80

100

120

KhandujibabaSquare

Prabhat Road SavarkarStatue

Ras Shala SwatantraChowk

Nal Stop Flyover Bridge KarishmaSociety

MrityunjayTemple

Karve Statue

Met

ers

Average Queue Length - Pune

Base Model Balance

Base Model

Balance

0

50

100

150

200

Seco

nd

s

Average Network Delay/Vehicle-Pune

Base Model

Balance

0.0

5.0

10.0

15.0

20.0

25.0

30.0

Speed (k

mph)

Average Network Speed-Pune

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DELHI - STUDY SECTION

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RESULT COMPARISON –DELHI

Travel Time from all the observed journey routes are decreased by 26%

compared to Fixed Time Controller.

100

300

500

700

Lodhi Hotel -Safdarjung

Safdarjug -Lodhi Hotel

Jor BaghRoad - Race

Course

Race Course- Jor Bagh

Road

Lodhi Garden- INA

INA - LodhiGarden

Flyover -Race Course

Race Course- Flyover

Khan Market- INA

INA - KhanMarket

JLN to RaceCourse

Race Courseto JLN

Tra

vel T

ime in

Seco

nd

s

Travel Time Sections

Travel Time Comparison-Delhi

Fixed Time Observed Simulated Balance Results

0

50

100

150

200

250

300

350

400

Safdarjug -Lodhi Hotel

Lodhi Hotel -Safdarjung

Race Course- Jor Bagh

Road

Jor BaghRoad - Race

Course

INA - LodhiGarden

LodhiGarden - INA

Race Course- Flyover

Flyover -Race Course

INA - KhanMarket

Khan Market- INA

Race Courseto JLN

JLN to RaceCourse

Seconds

Average Delay-Delhi

Base Model Balance

The average journey is 45% decreased.

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RESULT COMPARISON – AVERAGE QUEUE LENGTH-DELHI

An average queue length is decreased by 37% compared to base model.

0

10

20

30

40

50

60

70

80

Safdarjung Tomb JorBagh Po IHC Dayal SinghCollege

CGO Golf Course

Mete

rs

Average Queue Length-Delhi

Base Model Balance

Base Model

Balance

0.0

5.0

10.0

15.0

20.0

25.0

30.0

Speed (

km

ph)

Average Network Speed-Delhi

Base Model

Balance

0

20

40

60

80

100

Seconds

Average Network Delay/Vehicle-Delhi

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RESULT COMPARISON – FIXED TIME VS BALANCE / EPICS

Parameters Delhi Pune Chandigarh

Travel Time (Sec) ▼ 26% ▼ 32% ▼ 20%

Queue Length (Meters) ▼ 37% ▼ 24% ▼ 50%

Journey Delay (Seconds) ▼ 45% ▼ 32% ▼ 39%

Average Network Speed (Kmph) ▲ 27% ▲ 51% ▲ 20%

Average Network Delay (Seconds) ▼ 30% ▼ 43% ▼ 41%

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PTV SOFTWARE

SMART TRAFFIC SOLUTIONS FOR SMART CITIES

THANK YOU!