Construction Of The Urban Road Driving Cycle And Research Of The Fuel Consumption

Driving cycle can reflect the actual condition of road traffic. It is mainly usedfor evaluating engine fuel economy and emissions level of vehicles. It also canprovide reference for the development of new cars and the control strategy oftransportation. Because of the differences in urban structure, economicdevelopment conditions and driving habits, the vehicle driving cycles in ourcountry differ greatly from that of developed countries like Europe and USA,.Therefore, it’s meaningful to build a driving cycle, which is suitable for thecharacteristics of China’s urban transportation.Based on Hefei urban roads, the paper confirms the urban road driving cyclesdata acquisition scheme and builds driving cycles constructing modal which isbased on kinematics sequences. First, principal component analysis is used tocompress the characteristics of the kinematics segments. Then, the kinematicssegments are classified by using fuzzy c-means clustering which is improved by theparticle swarm optimization algorithm. The suitable kinematics segments areselected to fit the representative driving cycle. Compared with the driving cycleconstructed by is fuzzy c-means clustering the result shows that the particle swarmoptimization algorithm improves the cluster precision, the driving cycle is moreaccurate.The frequent acceleration-deceleration of cars at urban road intersection causegreat changes in driving situation. The fuel consumption at intersection is differentin non-intersection. VSP’ which is the correction vehicle specific power isintroduced into fuel consumption model. It can well replace the speed andacceleration to represent the vehicle driving situation. The fuel consumption modelbased on VSP’ is constructed by the actual measurement data at Hefei roadintersection.