Impact of influencing factors on vehicle emissions at signalized intersections | Статья в журнале «Молодой ученый»

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Авторы: ,

Рубрика: Технические науки

Опубликовано в Молодой учёный №9 (195) март 2018 г.

Дата публикации: 06.03.2018

Статья просмотрена: 51 раз

Библиографическое описание:

Жежук, Д. Ф. Impact of influencing factors on vehicle emissions at signalized intersections / Д. Ф. Жежук, Цзя Го. — Текст : непосредственный // Молодой ученый. — 2018. — № 9 (195). — С. 45-49. — URL: https://moluch.ru/archive/195/48606/ (дата обращения: 16.11.2024).



The purpose of this study aims to analyze the impact of slope on vehicle emissions at the signalized intersection.

Key words: road intersection, emission factors, road slope, emission model

With the development of economy and the improvement of people's living standard, the output and quantity of vehicles are increasing rapidly. The sustained and rapid increase in the number of vehicles in cities has brought serious challenges to urban environmental pollution. Vehicle emission pollution, especially particle size of small particles on the human body caused great damage, the existence of the potential threat of photochemical smog, a direct impact on people's health [1].

The control of vehicle exhaust emission is the key problem for the government and the people. Therefore all countries are taking active measures for vehicle pollution, in addition to actively support the development of new energy vehicles, on the one hand, through the development of increasingly stringent emission regulations, vehicle emission standards; on the other hand, the establishment of vehicle pollution control system, the formation of technology and management of a series of complete matching system [2].

In recent years, the research of vehicle exhaust emission has been increasing, which is of great significance to the improvement of air pollution and the sustainable development of ecological environment. Despite significant efforts to improve traffic emission models, limited attempts have been made to include the road gradient effect on light vehicles emissions. This study aims to analyze the impact of slope on vehicle emissions at the signalized intersection.

Highway is an important infrastructure of national economy and social development. At the same time, the construction and operation of highway has brought about the problem of air pollution. As the vehicle continues to increase, resulting in congestion, emissions increased. In spite of the lack of long-term funding, the strategy to build capacity and reduce traffic congestion has not stopped [3]. At present, in the process of highway planning to be completed and put into operation, the control of the environment is mainly through the feedback and improvement of environmental assessment. In the process of highway planning and preliminary design, it is necessary to carry on the forecast and evaluation of the atmospheric environmental impact of the road. After the completion of the operation, it is necessary to carry out the atmospheric environmental evaluation, which is convenient to put forward the improvement measures [4]. However, these evaluations are based on the total amount of moving source emission inventory, which is based on the velocity dependent vehicle emission factors. In fact, the factors that affect the vehicle emission factors in addition to the vehicle speed, but also relate to the geometric design of pavement parameters (such as road slope, horizontal curve, vertical curve, etc.). At present, highway design standards or guidelines have not considered the influence of geometric alignment design on vehicle emissions. In geometric design, slope is the most common linear [5].

Assuming that the vehicle traveling on the slope of the appropriate value of the road, the number of start should be relatively few; if the slope value is not appropriate, causing frequent start of vehicles, that the vehicle emissions will increase. Therefore, there should be a relationship between road gradient and vehicle emissions.

Experimental data and analysis

In order to achieve the goal of the study, a variety of research methods are used in this paper. First, VISSIM traffic simulation software is used in the establishment of micro model of single signalized intersection. And collection the speed and acceleration of each car per second at the intersection of the entrance lane group.

Fig.1. Layout and movement numbering

Secondly, the Vehicle specific power (VSP) method is used to calculate the average emission factors of the green lights and red lights in each lane.

Vehicle specific power is a mathematical representation of engine load against aerodynamic drag, acceleration, rolling resistance, plus the kinetic and potential energies of the vehicle, all divided by the mass of the vehicle. In practice, a generic set of coefficients values estimating VSP for a typical light duty fleet is applied as a useful basis for characterization [6].

(1)

Where:

v — vehicle speed (m/s);

a — vehicle acceleration/deceleration rate (m/s2);

ϴ — road grade in meters elevation change per meter of road distance (radians).

Many studies have shown that the emission factors of pollutants in vehicle exhaust are more dependent on motor vehicle specific power than speed and acceleration. After a lot of measurement and statistics, the VSP zoning of the car and the emission factors of three kinds of pollutants such as CO, HC and NOx, shown in Table 1.

Table 1

Specific power divisions and VSP-based emission factors of some common pollutants for cars

Partition

Specific power (kW/t)

Pollutant emission factor (mg/s/pcu)

CO

HC

NOx

1

VSP≤-10

1.9025

0.0673

0.3437

2

-10≤VSP<-2

2.0918

0.1030

0.5046

3

-2≤VSP<0

2.5419

0.1593

0.5562

4

0≤VSP<2

1.8237

0.2323

0.5855

5

2≤VSP<5

2.3533

0.1896

0.6916

6

5≤VSP<9

2.2451

0.2592

0.8216

7

9≤VSP<13

2.6964

0.3180

1.0906

8

13≤VSP<17

4.0725

0.4383

1.1764

9

17≤VSP<20

3.9979

0.5472

1.3588

10

20≤VSP

4.5135

0.5174

1.4514

MATLAB software is used to process and analyze the data, and calculate the emission factors, and the vehicle emission. Results of the calculation the emission factors and the vehicle emissions are shown in Table 2 and in Figure 2.

Table 2

The calculation of the emission factors and the vehicle emissions for each line

Gradient

%

Movements

Vehicles

Emission factors (mg/s/pcu)

Vehicle emissions (mg/s/pcu)

CO

HC

NOx

CO

HC

NOx

0

1

9157

1,978452

0,232198

0,612991

18116,69

2126,236

5613,16

0

2

22356

1,989256

0,234543

0,618621

44471,81

5243,437

13829,9

0

3

13438

2,025708

0,238819

0,630665

27221,46

3209,254

8474,877

+1

13470

2,236381

0,275049

0,719615

30124,05

3704,909

9693,218

+2

13535

2,262967

0,277828

0,72761

30629,26

3760,405

9848,204

+3

13552

2,263168

0,278074

0,727745

30670,46

3768,456

9862,407

+4

13262

2,277787

0,279563

0,732339

30208,01

3707,571

9712,286

+5

14164

2,267728

0,278425

0,729326

32120,11

3943,617

10330,18

0

4

23985

2,009924

0,236274

0,624572

48208,02

5667,023

14980,35

-1

23862

1,846062

0,202294

0,544018

44050,73

4827,141

12981,35

-2

23111

1,84527

0,201846

0,543044

42646,05

4664,861

12550,28

-3

22956

1,845115

0,20165

0,542812

42356,45

4629,087

12460,8

-4

24063

1,845236

0,201844

0,54307

44401,92

4856,965

13067,9

-5

23124

1,844598

0,20176

0,542836

42654,49

4665,508

12552,55

0

5

11528

1,998689

0,235842

0,622222

23040,89

2718,791

7172,973

0

6

27250

2,006978

0,23758

0,62577

54690,15

6474,06

17052,24

0

7

13042

2,025712

0,239935

0,632175

26419,33

3129,228

8244,825

-1

12872

1,844259

0,203553

0,545347

23739,3

2620,14

7019,703

-2

13277

1,843203

0,203123

0,544696

24472,21

2696,863

7231,932

-3

13584

1,843628

0,203424

0,545147

25043,84

2763,312

7405,277

-4

12868

1,844252

0,20231

0,543602

23731,83

2603,325

6995,072

-5

13246

1,843258

0,203204

0,544713

24415,8

2691,643

7215,274

0

8

25715

2,008523

0,236708

0,625025

51649,18

6086,941

16072,52

+1

27292

2,204567

0,271906

0,710025

60167,06

7420,867

19378,01

+2

26744

2,248887

0,276409

0,723525

60144,24

7392,295

19349,96

+3

26148

2,258945

0,277429

0,726464

59066,9

7254,219

18995,57

+4

27233

2,256521

0,277253

0,725777

61451,84

7550,43

19765,08

+5

26348

2,267623

0,278363

0,729252

59747,33

7334,295

19214,32

Fig. 2. The influence of the road gradient on vehicle emissions

The above results show that road slope has a certain influence on vehicle emission. When the road slope increases, the vehicle emission factor also increases (M3, M8). When the road slope is reduced, the emission factor of motor vehicles is also reduced (M4, M7).

Conclusion

The main findings show up the relationship between the road gradient and vehicle emissions. Thus, road gradient has a certain influence on vehicle emission factors. Thus, in the process of highway planning and preliminary design, it is also necessary to take into account the road gradient, which can reduce the vehicle emissions. Further study of the impact of road gradient on vehicle emissions is needed, to find the optimal interval slope which will seek to minimize vehicle emissions.

References:

  1. Wong C K and Wong S C. (2003). Lane-based optimization of signal timings for isolated junctions [J]. Transportation Research Part B. Methodological, 37, 63–84.
  2. Zhao J,Liu Y and Yang X.(2015). Operation of signalized diamond interchanges with frontage roads using dynamic reversible lane control. Transportation research part C. emerging technologies, 51, 196–209.
  3. Li X,Chen J and Wang H. (2013). Study on Flow Direction Changing Method of Reversible Lanes on Urban Arterial Roadways in China. Procedia-Social and Behavioral Sciences, 96, 807–816.
  4. Columbus A. (2012). Perceived costs and benefits of reversible lanes in Phoenix. Institute of Transportation Engineers, ITE Journal, 82, 38–42.
  5. Ding J, Zhou H and Yao R. (2014). Optimization of Lane Use and Signal Timing for Isolated Signalized Intersections with Variable Lanes. Safe, Smart, and Sustainable Multimodal Transportation Systems, ASCE, 2012–2024.
  6. He S. and Wang W. and Zhang J. (2013). An Improved Optimization Method for Isolated Signalized Intersection Based on the Temporal and Spatial Resources Integration [J]. Procedia-Social and Behavioral Sciences, 96, 1696–1706.
Основные термины (генерируются автоматически): VSP, ASCE, ITE, MATLAB, VISSIM.


Ключевые слова

road intersection, emission factors, road slope, emission model

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