JEP  Vol.3 No.9 A , September 2012
Driving Cycle for Motorcycle Using Micro-Simulation Model
ABSTRACT
Driving cycle of vehicle has been used in emission estimation and fuel consumption study. Existing method of data collection using car chasing technique is expensive. The technique using micro simulation approach is cheaper and fast to derive the driving cycle. In this paper a traffic simulation model Driving Cycle Micro-Simulation Model for Motorcycle has been developed. The issue of lateral and longitudinal movement aspect in motorcycle driving has been examined in the model. Parameters to cover such movement have been built in the model and applied on a stretch in Edinburgh city of Scotland. Results from model have been both calibrated and validated. The results show that Driving Cycle Micro-Simulation Model for Motorcycle gives better representation of driving cycle and it can be used to understand the effect of driving modes on emission for better understanding of vehicular emission control.

Cite this paper
R. Kumar, B. Durai, P. Parida, W. Saleh and K. Gupta, "Driving Cycle for Motorcycle Using Micro-Simulation Model," Journal of Environmental Protection, Vol. 3 No. 9, 2012, pp. 1268-1273. doi: 10.4236/jep.2012.329144.
References
[1]   W. Saleh, et al., “Real World Driving Cycle for Motorcycles in Edinburgh,” Transportation Research Part D, Vol. 14, No. 5, 2009, pp. 326-333. doi:10.1016/j.trd.2009.03.003

[2]   P. Hidas, “Modelling Vehicle Interactions in Microscopic Simulation of Merging and Weaving,” Transportation Research Part C: Emerging Technologies, Vol. 13, No. 1, 2005, pp. 37-62. doi:10.1016/j.trc.2004.12.003

[3]   T.-C. Lee, et al., “New Approach to Modeling Mixed Traffic Containing Motorcycles in Urban Areas,” Journal of the Transportation Research Board, Vol. 2140, 2009, pp. 195-205. doi:10.3141/2140-22

[4]   R. Kumar, et al., “Development of Driving Cycle for Motorcycle for Edinburgh World Association for Sustainable Development,” 5th International Conference Managing Knowledge, Technology and Development in the Era of Information Revolution Griffith University, Gold Coast, 2007, pp. 357-364.

[5]   C. Barcelo, et al., “Methodological Notes on the Calibration and Validation of Microscopic Traffic Simulation Model,” Proceeding of 83rd Annual Meeting of Transportation Research Board Annual Conference, Washington DC, 2004.

[6]   L. Chu, et al., “Using Microscopic Simulation to Evaluate Potential Intelligent Transportation System Strategies under Non recurrent Congestion,” Journal of the Transportation Research Board, Vol. 1886, 2004, pp. 76-84. doi:10.3141/1886-10

[7]   T. Oketch, and M. Carrick, “Calibration and Validation of a Micro-Simulation Model in Network Analysis,” Proceedings of the 84rd TRB Annual Meeting, Washington DC, 2005.

[8]   DTO (Directorate of Traffic Operations), “Modelling Guidelines Version 2.0 Traffic Schemes in London Urban Networks,” Transport for London Surface Transport, 2006.

[9]   R. Kumar, et al., “Comparison and Evaluation of Emissions for Different Driving Cycles of Motorcycles: A Note,” Transportation Research Part D: Transport and Environment, Vol. 16, No. 1, 2011, pp. 61-64. doi:10.1016/j.trd.2010.08.006

[10]   W. Saleh, et al., ““Real-World Driving Cycle for Motorcycles: A Comparative Study between Delhi and Edinburgh” World Journal of Science, Technology & Sustainable Development, Vol. 7, No. 3, 2010, pp. 263-274.

[11]   H. Y. Tong, et al., “On-Road Motor Vehicle Emissions and Fuel Consumption in Urban Driving Conditions,” Journal of Air Waste Management Association, Vol. 50, No. 4, 2000, pp. 543-554. doi:10.1080/10473289.2000.10464041

 
 
Top