Development Of Driving Cycles Under Different Road Classes In Fuzhou City And Fuel Consumption Characteristics Analysis

With the rapid development of the economy,global greenhouse gas emissions have increased dramatically,and the transportation industry is one of the main sources of greenhouse gas and atmospheric pollutants.The driving cycle is a speed-time curve that can reflect typical driving behaviors of specific vehicle categories in specific regions and is a key technology for evaluating vehicle fuel consumption and exhaust emissions.Research on driving cycles can help reduce vehicle energy consumption and emissions,which can promote the development of green transportation.However,China’s standard driving cycle was implemented lately,and its application in China is still not sufficient.At the same time,studies have shown that it is a challenge for the standard driving cycle to accurately describe the driving characteristics of specific vehicles in specific regions.Therefore,it is of great significance to develop relevant technologies of driving cycle based on China’s actual traffic conditions and to develop more representative driving cycles for specific regions.This study took light-duty vehicles in Fuzhou City as the research object,developed driving cycles under different road levels,and conducted fuel consumption characteristic research.The specific contents are as follows:(1)Introducing the actual road driving data in Fuzhou City used in this paper,analyzing the types of abnormal values in the data,and conducting targeted data preprocessing for data interruption,acceleration exception,idle interval exception,and instantaneous fuel consumption exception,respectively.(2)Using a Markov chain method with second-by-second velocity-acceleration states as the basic unit to construct driving conditions,calculating joint velocity-acceleration distribution and velocity-acceleration state transfer matrix based on actual road driving data in Fuzhou,constructing candidate driving conditions using Monte Carlo sampling,and selecting the driving condition with the lowest error using error evaluation function;simulated annealing algorithm is introduced to optimize the results of construction.To verify the optimization results,the evaluation results of the traffic characteristic parameters show that the average error of the driving conditions in Fuzhou City constructed in this paper is-9.7672%,and the comparison results with the standard conditions show that the construction results of this paper have a joint velocity-acceleration distribution that is closer to the actual driving data in Fuzhou,and the verification results show that the driving conditions constructed in this paper can better reflect the actual situation of local traffic in Fuzhou.The validation results show that the driving conditions constructed in this paper can better reflect the actual situation of local traffic in Fuzhou City.(3)The actual driving data was classified according to road classes,and driving cycles under different road classes in Fuzhou City were constructed.The differences in traffic characteristics shown by driving cycles under different road levels were analyzed.Based on the driving cycles,fuel consumption characteristics were studied,and the Comprehensive Modal Emission Model was used for fuel consumption simulation.The results showed that the fuel consumption simulation results of the Fuzhou driving cycle in this paper are closer to actual fuel consumption than the standard cycle.The fuel consumption simulation results of driving cycles on different road levels showed that the fuel consumption on expressways,arterial road,and secondary road increases in order.The instantaneous fuel consumption data of intersection sections were used to correct the fuel consumption simulation results.The corrected relative error of fuel consumption of main roads decreased from-5.238% to-3.989%,and that of secondary roads decreased from-6.503% to-3.218%.Based on the corrected fuel consumption,the travel cases were constructed for fuel-saving route recommendation,and the results showed that the fuel-saving route had 12.5%more distance than the shortest route;however,it saved 15.53% of fuel consumption.The research of this paper is based on the real traffic environment in Fuzhou city,and the constructed driving conditions can better reflect the actual traffic conditions in Fuzhou city compared with the standard conditions;the study of fuel consumption characteristics explores the influence of road level on fuel consumption in the traffic environment of Fuzhou city,and the results of this paper can provide data support for green traffic management policies and help green traffic construction.