One last time, read through the excerpt below. What do you notice while reading, without knowing much about the source overall?
“THE INFLUENCE OF INTERSECTIONS ON FUEL CONSUMPTION IN URBAN ARTERIAL ROAD TRAFFIC: A SINGLE VEHICLE TEST IN HARBIN, CHINA”
The calculating method for fuel consumption (FC) was put forward and calibrated and the characteristics of the fuel consumption on intersections were analyzed based on 18 groups of vehicular operating data which were acquired from the test experiment of a single vehicle along the urban arterial roads in Harbin, China. The results obtained show that 50.36% of the fuel consumption for the test vehicle was used at the area of intersections compared with 28.9% of the influencing distance and 68.5% of the running time; and 78.4% of them was burnt at the stages of acceleration and idling. Meanwhile, the type (c) of the vehicular operating status was illustrated to be the worst way of reducing fuel consumption, the causes were analyzed and four improvement strategies were put forward.
Statistically, one-third of the gasoline was exhausted by autos worldwide each year; and energy supply had become one of huge challenges for human beings. Consequently, 3 main fuel consumption reduction technologies were put forward and implemented from the aspects of vehicles, driving behaviors and traffic management and control respectively. Above all, advanced engine technologies, which were usually improved by auto makers and researchers, were gradually applied including hybrid electric engine, and turbocharger technology. For instance, hybrid electric vehicles (HEVs) or plug-in hybrid electric vehicles (PHEVs) were proved to be successful to reduce the fuel consumption; many relative strategies and methods were proposed to save the HEVs fuel consumption. Hu et al. and Yang et al. addressed the electrochemical energy buffers and robust coordinated control applied for the HEVs separately and the results showed that the proposed strategy could improve the fuel economy [1,2]. Hu et al. and Li et al. discussed the two optimization-based and dynamic programming-based global optimal energy management strategies for the plug-in hybrid electric bus (PHEBs) [3,4]; Sun et al. developed a PHEVs energy management algorithm to achieve enhanced fuel economy under different traffic flow information conditions . Zheng et al. analyzed the effect of battery temperature on fuel consumption of fuel cell hybrid vehicles (FCHVs) ; Hu et al. discussed the optimal dimensioning or longevity-conscious dimensioning and power management for the fuel cell hybrid buses (FCHBs) with the method of convex programming and the findings showed that they are optimal and efficient [7,8]. Meanwhile, stop-start technology (STT) can save about 5~15% fuel consumption ; and the turbocharger technology can also reduce fuel consumption for the vehicles and be used widely.
Question for consideration:
As you read through the passage above, what distinguishing features about the text stand out to you?
Features you noted might include:
- long title, with a colon indicating a subtitle
- has an abstract and introduction section
- technical language, with abbreviations for common terms like (FA)
- includes percentages and statistics
- footnotes and in-text citations
- formal tone
- long, complex sentences and paragraphs