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ONLINE TRAFFIC JAM MONITORING FOR MOBILE USERS Assoc. Prof. Dr. Alexander V. Ivanov Prof. Dr. Alexander Yu. Platov Undergraduate Student Dmitry V. Stepanov Nizhny Novgorod State University of Architecture and Civil Engineering, Russia NNSUACE

Eco route alexander ivanov sgem 2016 1

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Page 1: Eco route alexander ivanov sgem 2016 1

ONLINE TRAFFIC JAM MONITORING FOR MOBILE

USERSAssoc. Prof. Dr. Alexander V. Ivanov

Prof. Dr. Alexander Yu. Platov

Undergraduate Student Dmitry V. Stepanov

Nizhny Novgorod State University of Architecture and Civil Engineering,

Russia

NNSUACE

Page 2: Eco route alexander ivanov sgem 2016 1

• New reality includes– Traffic congestion localities, described by average

“jam” velocity and the congestion size,

– Meteorological data including wind velocity and solar radiation,

– Calculated traffic flow parameters– Calculated air pollution (concentration of air pollutants

and noise)– Calculated short term and long term health risk.

NNSUACE Online Monitoring of Traffic Jam

Page 3: Eco route alexander ivanov sgem 2016 1

Gaussian Model of Turbulent Diffusion

where:

C is the concentration of a pollutant in the air, mg/m3;

Q is the emission rate of the pollutant, mg/s

is the standard deviation of the Gaussian dispersion in the horizontal direction at x0, y0, z0; m;

is the standard deviation of the Gaussian dispersion in the vertical direction at x0, y0, z0; m;

U is the wind speed, m/s;

F is the background pollutant concentration, mg/m3.

h is the effective height of the source, m

x, y, z are the emission source coordinates, m;

NNSUACE

.2

,2 22

U

xK

U

xKz

zy

y == σσ

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Gaussian Model of Turbulent DiffusionNNSUACE

Page 5: Eco route alexander ivanov sgem 2016 1

Gaussian Model of Turbulent DiffusionNNSUACE

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Atmosphere Boundary layer stability NNSUACE

Wind Velocity, m/s

Classes of sustainability A-F

Day timeSolar radiation

Night time. Clouds

Strong Convection

Moderate Convection

Slight Convection

>50% <50%

<2 A (A+B)/2 B E F

2-3 (A+B)/2 B C E F

3-5 B (B+C)/2 C D E

5-6 C (C+D)/2 D D D

>6 C D D D D

Pasquill stability categories

Page 7: Eco route alexander ivanov sgem 2016 1

Online MeteoData Including Wind Velocity and Solar Radiation http://www.realmeteo.ru/

Meteorological Data is basic info for turbulent diffusion calculation

Page 8: Eco route alexander ivanov sgem 2016 1

Moscow Never SleepsNNSUACE

Page 9: Eco route alexander ivanov sgem 2016 1

Measured Share of Cars, Buses, Lorries and TrucksNNSUACE

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Every Congestion Has Unic PortraitNNSUACE

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User – Server Interaction Procedure NNSUACE

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NNSUACE Online Flow Velocity http://www.yandex.ru/maps/47/

Internet address:https://yandex.ru/maps/47/nizhny-novgorod/?ll=44.005986%2C56.332609&z=11&l=map%2Ctrf%2Ctrfe&source=traffic

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Interactive User-Server AlgorithmNNSUACE

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Internet Service for Mobile Users Eco-routes NNSUACE

Avalable at http://eco-routes.appspot.com/

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Web-Service Application Form

Start point and destination point

Start calculation

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Calculated Concentration 1 of NOx

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Calculated concentration 2 of Nox NNSUACE

Page 18: Eco route alexander ivanov sgem 2016 1

Short Term Health Risk AssessmentNNSUACE

Short term risk assessment follows the methodology developed by A.V. Kiselyov and L.A. Savvateeva :

The 1st class of hazard: Prob = -9.15 + 11.66 * lg (С/MAC sh.t.),

The 2nd class of hazard: Prob = -5.51 + 7.49 * lg (С/ MAC sh.t.),

The 3rd class of hazard: Prob = -2.35 + 3.73 * lg (С/ MAC sh.t.),

The 4th class of hazard: Prob = -1.41 + 2.33 * lg (С/ MAC sh.t.).

Page 19: Eco route alexander ivanov sgem 2016 1

Long Term Toxic Risk Assessment

Risk = 1 – exp{ln(0,84) [C/(MAC*Кз)] b t} ,

С – daily average concentration; MAC – max. allow. concentration; Кз - coefficient of safety is equal to 7,5 для 1st class of

hazard, 6 – for 2th class, 4,5 - for 3th class and 3,0 - for 4th class of hazard;

b – isoeffectiveness coefficient is equal to 2,4 for 1 class, 1,31 - for 2 class, 1,0 - for 3 class and 0,86 for 4class of hazard;

t – term of exposition; t = 1 for 70 years.

NNSUACE

Page 20: Eco route alexander ivanov sgem 2016 1

Long Term Toxicological Health risk

• To calculate the pollution indicators, the user must click "Rate risk". As a result, the user sees ancategorized level of the Risk.

• The calculated level has Three categories

• 1. Favored2. Satisfactory3. Danger

NNSUACE

Page 21: Eco route alexander ivanov sgem 2016 1

Conclusion 1Both short term and long term health risk estimations are important

online services for mobile users especially during traffic congestion.

Rather simple formulas are used to make instant estimation.

Traffic intensity and flow rate are the basic parameters for emission of pollutants.

Calculation of flow rate during traffic congestion is a very popular internet service provided by feveral private companies.

Several certified companies provide online meteorological services.

Key assumption for the calculations is that the measurement of the flow rate during traffic jam enables calculating traffic intensity.

The above mentioned assumptions and services give hope to spread online health risk assessment for the whole country.

NNSUACE

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Conclusion 2

The weak point of the online monitoring is the lack of comparison with observations.

The service needs more detailed information about roads and vehicles. Number of lanes, traffic lights and age of vehicles are important for the accurate calculation.

Adaptation of the calculation for local circumstances will be a further task.

NNSUACE

Page 23: Eco route alexander ivanov sgem 2016 1

Thank You Thank You for Your Kind Attentionfor Your Kind Attention!!

NNSUACE

Alexander Ivanov,Alexander Ivanov,[email protected]@gmail.com