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access icon free VSP-based emission factor calibration and signal timing optimisation for arterial streets

© The Institution of Engineering and Technology
Received 29/03/2018, Accepted 03/10/2018, Revised 10/09/2018, Published 15/10/2018

Vehicle delay and traffic emissions have serious influences on traffic flow operations on an arterial street. The emission factors during green and red are calibrated based on vehicle-specific power (VSP), then three optimisation models are formulated by minimising vehicle delay or traffic emissions and by considering left-turn bays and coordinated signals. The field data from Dalian city of China are used to validate these models. Vehicle compositions include car, medium-size vehicle (MSV) and bus. Carbon monoxide (CO), hydrocarbons (HC) and nitrogen oxides (NO x ) emissions are estimated. Three coordinated signal control scenarios are proposed and four simulation experiments are carried out. The results indicate that the emission factor during green is greater than that during red for CO, HC or NO x produced by car, MSV or bus in each lane group on an arterial street; the emissions estimated by the motor vehicle emission simulator model are greater than those calculated by the VSP-based model; and the signal control scenario obtained by minimising total emissions performs better than that obtained by minimising total delay or both of them.

Inspec keywords: road vehicles; air pollution control; road traffic control; minimisation

Other keywords: signal timing optimisation; carbon monoxide emission estimation; nitrogen oxide emission estimation; vehicle-specific power; NOx; VSP-based emission factor calibration; traffic emission minimisation; CO; total delay minimisation; optimisation models; vehicle composition; hydrocarbons emission estimation; arterial streets; traffic flow operations; total emission minimisation; coordinated signal control scenarios; VSP-based model; vehicle delay minimisation; left-turn bays; motor vehicle emission simulator model

Subjects: Systems theory applications in transportation; Systems theory applications in natural resources and ecology; Optimisation techniques

References

    1. 1)
      • 36. Ma, N., Shao, C.F., Zhao, Y.: ‘Influence factors of coordination control system in signalized intersections’, J. Harbin Inst. Technol., 2011, 43, (6), pp. 112–117.
    2. 2)
      • 14. Zheng, X., Wu, Y., Jiang, J.K., et al: ‘Characteristics of on-road diesel vehicles: black carbon emissions in Chinese cities based on portable emissions measurement’, Environ. Sci. Technol., 2015, 49, (22), pp. 13492–13500.
    3. 3)
      • 6. Kam, W., Liacos, J.W., Schauer, J.J., et al: ‘On-road emission factors of PM pollutants for light-duty vehicles (LDVs) based on urban street driving conditions’, Atmos. Environ., 2012, 61, pp. 378–386.
    4. 4)
      • 12. Song, G.H., Zhou, X.X., Yu, L.: ‘Delay correction model for estimating bus emissions at signalized intersections based on vehicle specific power distributions’, Sci. Total Environ., 2015, 514, pp. 108–118.
    5. 5)
      • 3. Tiriolo, M., Adacher, L., Cipriani, E.: ‘An urban traffic flow model to capture complex flow interactions among lane groups for signalized intersections’, Procedia Soc. Behav. Sci., 2014, 111, pp. 839–848.
    6. 6)
      • 5. Frey, H.C., Unal, A., Chen, J.: ‘Recommended strategy for on-board emission data analysis and collection for the new generation model’. North Carolina State University for Office of Transportation and Air Quality, U.S. Environmental Protection Agency, Ann Arbor, Michigan, 2002.
    7. 7)
      • 19. Zhang, L., Yin, Y., Chen, S.: ‘Robust signal timing optimization with environmental concerns’, Transp. Res. C, 2013, 29, pp. 55–71.
    8. 8)
      • 4. Frey, H.C., Rouphail, N.M., Unal, A., et al: ‘Emissions reduction through better traffic management: an empirical evaluation based upon on-road measurements’. Rep. FHWA/NC/2002-001, North Carolina Department of Transportation, USA, 2001.
    9. 9)
      • 35. Tian, Z.Z., Mangal, V., Liu, H.C.: ‘Effectiveness of lead-lag phasing on progression bandwidth’, Transp. Res. Rec., 2008, 2080, pp. 22–27.
    10. 10)
      • 1. Environmental Protection Agency (EPA): ‘Carbon pollution from transportation – transportation and climate change’, 2017. Available at http://www.epa.gov/air-pollution-transportation/carbon-pollution-transportation, 10 January 2017.
    11. 11)
      • 25. Dvorak, D.V., McCoy, P.T.: ‘Effect of left-turn bays on fuel consumption on uncontrolled approaches to stop-sign-controlled intersections’, Transp. Res. Rec., 1983, 901, pp. 50–53.
    12. 12)
      • 28. Lu, K., Xu, J.: ‘Offset model for arterial road coordinate control and its optimization method’, China J. Highw. Transp., 2008, 21, (1), pp. 83–88.
    13. 13)
      • 38. Environmental Protection Agency (EPA): ‘Using MOVES2014 in project-level carbon monoxide analyses’. Transportation and Climate Division Office of Transportation and Air Quality, EPA Rep. EPA-420-B-15-028, 2015.
    14. 14)
      • 37. Li, H.Q., Lu, H.P., Liu, Q.: ‘Research on transition algorithms for timing plans of arterial time in-day traffic control’, J. Wuhan Univ. Technol. (Transp. Sci. Eng.), 2008, 32, (5), pp. 779–781, 852.
    15. 15)
      • 31. Yao, R.H., Zhang, H.M.: ‘Optimal allocation of lane space and green splits of isolated signalized intersections with short left-turn lanes’, J. Transp. Eng., 2013, 139, (7), pp. 667–677.
    16. 16)
      • 7. Liu, T.Y., Wang, X.M., Wang, B.G., et al: ‘Emission factor of ammonia (NH3) from on-road vehicles in China: tunnel tests in urban Guangzhou’, Environ. Res. Lett., 2014, 9, (6), pp. 1–8, no. 064027.
    17. 17)
      • 15. Sowman, J., Box, S., Wong, A., et al: ‘In-use emissions testing of diesel-driven buses in Southampton: is selective catalytic reduction as effective as fleet operators think?’, IET Intell. Transp. Syst., 2018, 12, (6), pp. 521–526.
    18. 18)
      • 20. Li, X., Chen, F.: ‘Optimal signal timing of single intersection for traffic emission control’, Appl. Mech. Mater., 2014, 587–589, pp. 2137–2140.
    19. 19)
      • 8. Midenet, S., Boillot, F., Pierrelée, J.C.: ‘Signalized intersection with real-time adaptive control: on-field assessment of CO2 and pollutant emission reduction’, Transp. Res. D, 2004, 9, (1), pp. 29–47.
    20. 20)
      • 11. Lai, J.X., Yu, L., Song, G.H., et al: ‘Development of city-specific driving cycles for transit buses based on VSP distributions: case of Beijing’, J. Transp. Eng., 2013, 139, (7), pp. 749–757.
    21. 21)
      • 32. Roess, R.P., Prassas, E.S., McShane, W.R.: ‘Traffic engineering’ (China Machine Press, Beijing, China, 2008, 3rd edn).
    22. 22)
      • 13. Zhang, S.J., Wu, Y., Liu, H., et al: ‘Real-world fuel consumption and CO2 emissions of urban public buses in Beijing’, Appl. Energy, 2014, 113, pp. 1645–1655.
    23. 23)
      • 34. Yao, R.H.: ‘Settings of short left-turn lane and signal phase sequence for isolated signalized intersections’, Transport, 2016, 31, (4), pp. 416–426.
    24. 24)
      • 18. Li, J.Q., Wu, G.Y., Zou, N.: ‘Investigation of the impacts of signal timing on vehicle emissions at an isolated intersection’, Transp. Res. D, 2011, 16, (5), pp. 409–414.
    25. 25)
      • 24. Tobin, J.R., McCoy, P.T.: ‘Effect of left-turn bays at signalized intersections on fuel consumption’, Transp. Res. Rec., 1983, 901, pp. 47–49.
    26. 26)
      • 30. Guo, D., Gao, S., Zou, G., et al: ‘Quantitative evaluation method of vehicle emission in urban region’, J. Traffic Transp. Eng., 2012, 12, (1), pp. 72–78.
    27. 27)
      • 22. Tan, W., Li, Z.C., Tan, Z.J.: ‘Modeling the effects of speed limit, acceleration, and deceleration on overall delay and traffic emission at a signalized intersection’, J. Transp. Eng. A, Syst., 2017, 143, (12), pp. 1–12, no. 04017063.
    28. 28)
      • 27. Transportation Research Board (TRB): ‘Highway capacity manual 2010’ (Washington, DC, 2010, 5th edn).
    29. 29)
      • 26. Yao, R.H., Wang, X.Y., Xu, H.F., et al: ‘Emission factor calibration and signal timing optimization for isolated intersections’, IET Intell. Transp. Syst., 2018, 12, (2), pp. 158–167.
    30. 30)
      • 10. Mahmod, M., van Arem, B., Pueboobpaphan, R., et al: ‘Reducing local traffic emissions at urban intersection using ITS countermeasures’, IET Intell. Transp. Syst., 2013, 7, (1), pp. 78–86.
    31. 31)
      • 21. Osorio, C., Nanduri, K.: ‘Urban transportation emissions mitigation: coupling high-resolution vehicular emissions and traffic models for traffic signal optimization’, Transp. Res. B, 2015, 81, Part 2, pp. 520–538.
    32. 32)
      • 23. Fernandes, P., Coelho, M.C., Rouphail, N.M.: ‘Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level’, Transp. Res. D, Transp. Environ., 2017, 54, pp. 304–320.
    33. 33)
      • 9. van Katwijk, R.T.: ‘Using I2V communication to reduce traffic emissions at urban signalized intersections’, Procedia Soc. Behav. Sci., 2012, 48, pp. 2385–2392.
    34. 34)
      • 16. Gao, Y.F., Hu, H.: ‘Estimation of queued vehicle emissions at signalized intersections based on vehicle specific power approach’, China J. Highw. Transp., 2015, 28, (4), pp. 101–108.
    35. 35)
      • 29. Huai, T., Durbin, T.D., Younglove, T., et al: ‘Vehicle specific power approach to estimating on-road NH3 emissions from light-duty vehicles’, Environ. Sci. Technol., 2005, 39, pp. 9595–9600.
    36. 36)
      • 33. Road and Transportation Research Association (RTRA): ‘Guidelines for traffic signals (RiLSA)’ (Steering Committee for Traffic Control and Traffic Safety, Cologne, German, 2003).
    37. 37)
      • 2. Long, J.C., Gao, Z.Y., Zhao, X.M., et al: ‘Urban traffic jam simulation based on the cell transmission model’, Netw. Spat. Econ., 2011, 11, (1), pp. 43–64.
    38. 38)
      • 17. Li, X.G., Li, G.Q., Pang, S.S., et al: ‘Signal timing of intersections using integrated optimization of traffic quality, emissions and fuel consumption: a note’, Transp. Res. D, 2004, 9, (5), pp. 401–407.
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