Abstract: With regard to the big gap between fuel consumption measurement and actual driving performance of passenger car, the typical driving cycle of passenger car in Changchun city was researched. One year's driving data were collected in Changchun city, from which 3 538 335 valid data were acquired for the research. Cluster method and Markov chain principle were applied to construct the typical driving cycle, and Changchun cycle was compared with Shanghai cycle and NEDC cycle. The results show that the average absolute deviation of the characteristic parameters between the constructed cycle and sample database population is 4.03%, which is obviously lower than the 10% deviation requirement and indicates that the constructed cycle could accurately reflect the driving characteristics in Changchun city. The driving characteristics of Changchun cycle differ widely from that of Shanghai cycle and NEDC cycle. The average absolute deviation of the characteristic parameters between Changchun cycle and the other two cycles is 22.7% and 21.1% respectively. The driving characteristics of NEDC cycle can not accurately describe the driving characteristics of passenger car in China. Therefore, it is necessary to construct driving cycle that conforms with the situations of China. The results of this research may provide references for promoting the accuracy of measurement and assessment on passenger car in Changchun city.

Key words: transportation planning and management, driving cycle, Markov chain, passenger car