Study on a Prediction Model of Superhighway Fuel Consumption Based on the Test of Easy Car Platform

Abstract

To explore the relationship between fuel consumption and speed for a vehicle on a superhighway with a design speed exceeding 120 km/h, the fuel consumption data provided by the Test of Easy Car platform are used to fit the fuel consumption of different models. The fitting results show that the fitting degree of fuel consumption by a cubic curve is the highest, and the correlation coefficient is above 0.95. A fuel consumption cubic curve model of different vehicle types is established by using the fitting parameters to predict the fuel consumption when a vehicle is running at a speed of 130 km/h–180 km/h. The prediction results show that the average fuel consumption of compact vehicles is the lowest when a vehicle is running on a superhighway at speeds of 130 km/h–180 km/h, with values of 8.95 L/100 km–16.26 L/100 km; the average fuel consumption of sport utility vehicles (SUVs) is the highest, with values of 12.65 L/100 km–22.70 L/100 km. The prediction results can be used to estimate the cost of using a superhighway and provide a basis for estimating the feasibility of superhighways.

An Optimization Model for Structuring a Car-Sharing Fleet Considering Traffic Congestion Intensity

“…Speed is a principal factor afecting the energy consumption of a vehicle and, as a result, the amount of emissions that the vehicle produces. Following He et al [40], the optimal fuel consumption occurs in the speed range of 45-80 km/h, whereas EVs have lower energy consumption in the range of speeds between 20 km/h and 40 km/h [41]. On the other hand, during peak hours, trafc congestion afects the speed of a vehicle.…”

“…Tus, based on the average speed given there and the amount of consumption for the corresponding velocity given by He et al [40] and Grée et al [41]; we illustrate in Figure 1 how a typical day of operation is divided into three blocks of low, medium, and high congestion levels.…”