Influence analysis of driving pattern factors on bus fuel economy by the SEM

This study is aimed at proposing a method to find principal driving pattern factors to describe the dimensions of city bus driving cycle, sorted by the effect of factors on fuel economy. 27 driving pattern factors were calculated for 22353 driving patterns collected in actual traffic. These factors included traditional driving pattern factors, bus route geographic factors, driving habits factors and environmental factors. The structure equation model (SEM) was proposed to analyze the direct and indirect relations between 27 factors and fuel economy, and the stepwise iteration was applied to reduce meaningless relations. 13 driving pattern factors from 27 factors were finally abstracted to describe the dimensions of city bus driving cycle, illustrating the influence coefficients of fuel economy. Compared with the traditional multiple linear regression analysis, the SEM not only reflects the direct and indirect influence between variables, but also gives the minimum value of the whole estimated residual. The proposed structure model can effectively illustrate the complex influence between 13 variables of driving pattern factors and fuel economy. The results of traditional multiple linear regression were only in consistent with the direct influence of the SEM. The proposed analysis method will support the simplification of principal variables measuring driving cycle and bus fuel economy.

[1]  Ali Emadi,et al.  Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles , 2011, IEEE Transactions on Vehicular Technology.

[2]  Baoyu Tian,et al.  Development of hybrid city bus's driving cycle , 2011, 2011 International Conference on Electric Information and Control Engineering.

[3]  Srdjan M. Lukic,et al.  Review of driving conditions prediction and driving style recognition based control algorithms for hybrid electric vehicles , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[4]  M. Kuhler,et al.  Improved Driving Cycle for Testing Automotive Exhaust Emissions , 1978 .

[5]  Eva Ericsson,et al.  Variability in urban driving patterns , 2000 .

[6]  André Villanova,et al.  Characterisation of an urban bus network for environmental purposes. , 2004, The Science of the total environment.

[7]  José Eugenio Naranjo,et al.  Bus line classification using neural networks , 2014 .

[8]  Hong Huo,et al.  Characterization of vehicle driving patterns and development of driving cycles in Chinese cities , 2008 .

[9]  Teng Jing.  Effect analysis of external operation environment on the performance of bus routes by DEA and SFA , 2013 .

[10]  Karin Brundell-Freij,et al.  Influence of street characteristics, driver category and car performance on urban driving patterns , 2005 .

[11]  Eva Ericsson,et al.  Independent driving pattern factors and their influence on fuel-use and exhaust emission factors , 2001 .

[12]  Qin Shi,et al.  The city bus driving cycle construction , 2011, 2011 Second International Conference on Mechanic Automation and Control Engineering.