The Influence of Pavement–vehicle Interaction on Highway Fuel Consumption by Field Measurement

Abstract

Field experiments are performed in which Fuel Consumptions (FCs) are measured by operating passenger car over thirteen one-mile roadway sections at two highway speeds in Florida. The sections are composed of 6 flexible pavement sections and seven rigid pavement sections with varied pavement surface conditions and testing temperature. The first objective is to capture the fuel differences between flexible pavement and rigid pavement considering the effect of pavement roughness and pavement temperature. By ANalysis of COVAriance (ANCOVA), results show less fuel is consumed on rigid pavement opposed to flexible pavement by 2.25% at 93 km/h and 2.22% at 112 km/h. Fuel differences are found statistically significant at 95% Confidence Level (C.L.). Fuel savings on rigid pavement exhibits good agreement with authors’ Phase I direct comparison field study. Furthermore, fuel data from flexible pavement is applied to calibrate the Highway Development and Management IV (HDM-4) FC model in order to detect and quantify the impact of pavement deflection on FC. Calibrated models are evaluated and validated with experiment data. By results, the deflection-indhuced fuel effect is disclosed by the positive deflection adjustment coefficient generated from the calibration. It is also found that an increase of 0.1mm in pavement deflection at 25 °C (pavement temperature) would increase the FC by 1.53% at 93 km/h and 1.46% at 112 km/h. Results demonstrate good agreement with other findings.

How road cross-sections affect the environmental impacts from cradle to grave

“…The impact values of M4 in Table 12 allow comparative analyses for strategic decisions during the road service-life: the road manager can estimate the effects of traffic volume variation, modification of lighting consumption and maintenance procedures. Moreover, in this study, the adhesion coefficient of the surface layer does not vary with the upper pavement material, while in the literature several research focused on the effects of the pavement materials on the fuel consumption rate (Vashisth and Kumar, 2018) and demonstrated savings ranged from 0.8% to 3.1% in favor of concrete (Jiao and Bienvenu, 2016). This study is based on consistent Italian data: the findings are robust, but varying the geographic reference area will affect both the LCI data and the LCIA results.…”