Assessing the Need for Applying Multimodal Speed Distribution in Road Transport Macro Emission Estimation
Vehicles speed distribution is an important input parameter in lots of issues, such as kinematical traffic simulation model, road design, speed limit evaluation, road traffic noise prediction or vehicles emission estimation. In this paper, a new approach has been presented in which the speed is randomly generated according to different speed distributions. Later on, these distributions were used as the basis of emission estimation. These different distributions were chosen according to the contextual traffic situation (free flow, pulsed accelerated flow, intersection, congestion, etc.) and were assigned to the fundamental diagram. The study of the effect of different speed distributions on the resulting emission level has been performed. The considerable difference in the emission models related to Log-normal distribution as well as exponential, chi-square and equal distribution to normal Gaussian distribution implies that these different traffic conditions will have a considerable effect on emission and will show the need for applying multimodal speed distribution in macro emission estimation rather than unimodal distribution. It should also be mentioned that this result may lead to the chance of revising the simulation software in further studies
McLean J. R. (1978): Observed Speed Distributions and Rural Road Traffic Operations. 9th Australian Road Research Board Conference Proceedings., Part 5, Australian Road Research Board, Vermont South, Victoria, Australia, 235-244.
Katti B.K., Shastri A., Pathak R.H. (1988): Free Constrained and bunching Vehicular Flow on Urban Arterials Under Mixed Traffic Conditions. Highway Research Bulletin No. 33, Traffic Eng., Indian Roads Congress, pp. 01-14.
Shankar V., Mannering F., (1998): Modeling the Endogeneity of Lane-Mean Speeds and Lane-Speed Deviations: A Structural Equations Approach. Transportation Research Part A, 32(5):311-322.
Dixon K. K., Wu C.H., Sarasua W., Daniel J. (1999): Posted and Free-Flow Speeds for Rural Multilane Highways in Georgia. Journal of Transportation Engineering, ASCE, 125(6):487-494.
McFadden J., Yang W., Durrans S. R. (2001): Application of Artificial Neural Networks to Predict Speeds on Two-Lane Rural Highways. Transportation Research Record 1751, Transportation Research Board, Washington, D.C., 9-17.
Figueroa A., Tarko A. (2004): Reconciling Speed Limits with Design Speeds. HWA/IN/JTRP-2004/26, Purdue Univ., West Lafayette, Ind.
Ali A., Flannery A., and Venigalla M., (2007): Preciction Models for Free Flow Speed on Urban Streets. 86th Annual Meeting of the Transportation Research Board.
Himes, S. C., Donnel E.T., (2010): Speed Prediction Models for Multi-Lane Highways: A Simultaneous Equations Approach. Journal of Transportation Engineering, ASCE, 136(10)855-862.
Munawar A., (2011): Speed and Capacity for Urban Roads, Indonesian Experience. 6th International Symposium on Highway Capacity and Quality of Service, Stockholm, Sweden.
Dhamaniya A., Satish C., (2013): Speed Prediction Models for Urban Arterials Under Mixed Traffic Conditions. Procedia - Social and Behavioral Sciences 104(12):342–51. doi:10.1016/j.sbspro.2013.11.127.
Tettamanti T., Milacski Á. Z., Lőrincz A., Varga I. (2015): Iterative Calibration Method for Microscopic Road Traffic Simulators. Periodica Polytechnica Transportation Engineering, 43(2):87-91, DOI: 10.3311/PPtr.7685
Rao A. M., Rao K. R. (2015): Free Speed Modeling for Urban Arterials - A Case Study on Delhi. Periodica Polytechnica Transportation Engineering, (ahead-of-print). DOI: 10.3311/PPtr.7599
Castro M., Sanchez J.A., Vaquero C.M., Iglesias L., Rodriguez-Solano R., (2008), Automated GIS-based system for speed estimation and highway safety evaluation, Journal of Computing in Civil Engineering, 22, 325-331.
Dey P.P., Chandra S., Gangopadhaya S., (2006), Speed distribution curves under mixed traffic conditions, Journal of transportation engineering, 132, 475-481.
Fitzpatrick K., Carlson P.L., Wooldridge M.D., Brewer M.A., (2000), Design factors that affect driver speed on suburban arterials, Technical Report Documentation, Texas Transportation Institute, Report n. 1769-3.
Trozzi C., Vaccaro R., Crocetti S., (1996), Speed frequency distribution in air pollutants emissions estimate from road traffic, Science of the Total Environment, 189/l90, 181 – 185.
Iannone, G., Guarnaccia, C., & Quartieri, J. (2013). Speed distribution influence in road traffic noise prediction. Environmental Engineering And Management Journal, 12(3), 493-501.
Lin S, He M, Tan Y, et al. (2008). Comparison study on operating speeds of electric bicycles and bicycles: experience from field investigation in Kunming, China. Transp. Res. Record 2008; 2048: 52–59.
Wang D, Zhou D, Jin S, (2015): Characteristics of mixed bicycle traffic flow on conventional bicycle path. Presented at 94th annual meeting of the transportation research board, Washington, DC, 11–15 January 2015.
Vadeby, A., Forsman A. (2014): Speed Distribution and Traffic Safety Measures. In Transport Research Arena (TRA) 5th Conference: Transport Solutions from Research to Deployment. http://tra2014.traconference.eu/papers/pdfs/TRA2014_Fpaper_18042.pdf.
Maurya, A.K., Dey S., and Das S. (2015): “Speed and Time Headway Distribution under Mixed Traffic Condition.” Accessed November 22.
Hustim, M. Fujimoto, K. (2012): Road Traffic Noise under Heterogeneous Traffic Condition in Makassar City, Indonesia. Journal of Habitat Engineering and Design, 4(1), 109-118.
Aly B., Ramli S.H., Sumi, M.I.T. (2012): Driving Cycle of Passenger Cars on Heterogeneous Traffic Situations: Case Study on an Urban Road in Makassar, Indonesia. Proceeding of the 8th International Symposium on Lowland Technology.
Chandra S., Bharti K.A. (2013): “Speed Distribution Curves for Pedestrians During Walking and Crossing.” Procedia - Social and Behavioral Sciences 104 (December): 660–67. doi:10.1016/j.sbspro.2013.11.160.
Loutzenheiser, D. W., & Greenshields, B. D. (1941). Percentile Speeds on Existing Highway Tangents. In Highway Research Board Proceedings (Vol. 20).
Leong HJW (1968):. The distribution and trend of free speeds on two-lane two-way rural highways in New South Wales. In: Proceedings of the 4th Australian road research board conference, part 1, Melbourne, VIC, Australia, 14–16 October 1968, pp.791–808. Vermont South, VIC, Australia: Australian Road Research Board.
Minh, C. C., Sano, K., and Matsumoto, S. (2005): The speed, Flow and Headway Analyses of Motorcucle Traffic. Journal of the Eastern Asia Society for Transportation Studies, 6, 1496 – 1508.
Wang, Y., Dong, W., Zhang, L., Chin, D., Papageorgiou, M., Rose, G., Young, W. (2012): Speed modeling and travel time estimation based on truncated normal and lognormal distributions. Journal of the Transportation Research Board, No. 2315, 66-72.
Zou, Y. (2013): A Multivariate Analysis of Freeway Speed and Headway Data. Texas A&M Transportation Institute.
Zou, Y., and Zhang, Y. (2011) Use of Skew-Normal and Skew-t Distributions for Mixture Modeling of Freeway Speed Data. Journal of the Transportation Research Board, No. 2260, 67-75.
Haight F.A., Mosher W.W., (1962), A practical method of improving the accuracy of vehicular speed distribution measurements, HRR 341, Highway Research Board, Washington, D.C., 92116.
Gerlough DL and Huber MJ. Traffic flow theory: a monograph. Special report 165. Washington, DC: Transportation Research Board, National Research Council, June, 1975.
Harmonoise, (2004), Imagine project funded by EC under the sixth framework program, On line at: http://www.imagine-project.org.
JUN, J. 2010. Understanding the variability of speed distributions under mixed traffic conditions caused by holiday traffic. Transportation Research Part C-Emerging Technologies, 18, 599-610.
Ko, J., Guensler R. L. (2005): “Characterization of Congestion Based on Speed Distribution: A Statistical Approach Using Gaussian Mixture Model.” In Transportation Research Board Annual Meeting. Citeseer.
Batterman, S., Zhang, K., & Kononowech, R. (2010). Prediction and analysis of near-road concentrations using a reduced-form emission/dispersion model. Environmental Health, 9, 29.
Fenger, J., (1999): Urban air quality. Atmospheric Environment 33, 4877–4900.
Smit R., Brown Al., Chan Y.C. (2008), Do air pollution emissions and fuel consumption models for roadways include the effects of congestion in the roadway traffic flow? Environmental Modelling and Software 23, pp.1262-1270.
DoTRS, 2001. Comparative Vehicle Emissions Study. Commonwealth Department of Transport and Regional Services, Canberra, Australia, ISBN 0 642 45684 4.
Maghrour Zefreh, M., Torok, A., Mandoki, P., Toth, J. (2015): Maneuvers analysis of shared taxi and their effects on flow characteristics, MT-ITS Conference, Budapest June 2-5. 2015, pp328-331.
Hustim, M. R., Isran M. (2013): “The Vehicle Speed Distribution on Heterogeneous Traffic: Space Mean Speed Analysis of Light Vehicles and Motorcycles in Makassar-Indonesia.” In . The Eastern Asia Society for Transportation Studies. http://repository.unhas.ac.id/handle/123456789/5948
USEPA, 2007. MOBILE 6 Vehicle Emission Modelling Software and Documentation. US Environmental Protection Agency, Washington, DC. http://www.epa.gov/ otaq/m6.htm.
CARB, 2002. EMFAC 2002, California Air Resources Board’s Emission Inventory Series, September. http://www.arb.ca.gov//msei/on-road/latest_version.htm.
EEA, 2000. COPERT III Computer Programme to Calculate Emissions From Road Transport – Methodology and Emissions Factors (Version 2.1). In: Ntziachristos, L., Samaras, Z., Eggleston, S., Gorissen, N., Hassel, D., Hickman, A.-J., Joumard, R., Rijkeboer, R., White, L., Zierock, K.-H. (Eds.), November 2000, Technical Report No. 49. European Environment Agency, Copenhagen.
Namdeo, A., Mitchell, G., Dixon, R., (2002): TEMMS: an integrated package for modelling and mapping urban traffic emissions and air quality. Environmental Modelling & Software 17(2):179–190.
INFRAS, 2007. Handbook Emission Factors for Road Transport – HBEFA. http://www. hbefa.net/.
TNO, 2001. Emissions and Congestion – Estimation of Emissions on Road Sections and the Dutch Motorway Network. In: Gense, N.L.J., Wilmink, I.R., Van de Burgwal, H.C. (Eds.), Report No. 01.OR.VM.0441/NG. TNO Automotive, The Netherlands.
Rakha, H., Farzaneh, M., Arafeh, M., Hranac, R., Sterzin, E. and Krechmer, D. (2007): Empirical Studies on Traffic Flow in Inclement Weather, Final Report – Phase I.