We compare the potential of hybrid, extended-range plug-in hybrid, and battery electric vehicles to reduce lifetime cost and life cycle greenhouse gas emissions under various scenarios and simulated driving conditions. We find that driving conditions affect economic and environmental benefits of electrified vehicles substantially: Under the urban NYC driving cycle, hybrid and plug-in vehicles c...

Information about in-use emissions from diesel engines remains a critical issue for inventory development and policy design. Toward that end, we have developed and verified the first mobile laboratory that measures on-road or real-world emissions from engines at the quality level specified in the U.S. Congress Code of Federal Regulations. This unique mobile laboratory provides information on in...

Certain cardiac conditions can limit patients' ability to drive. It remains the doctors' responsibility to advise patients of any driving restrictions and is particularly important after certain diagnoses or procedures. We identified that the quality of documented advice was variable and frequently no written driving advice was recorded on discharge. It was apparent that there was a lack of awa...

Parameter optimization for Hybrid Electric Vehicles (HEVs) is very time consuming due to the necessity to evaluate a simulation model. This bottleneck is usually removed by using metamodels as surrogates for the simulation. We consider metamodels for longitudinal dynamics simulation, which simulate a vehicle following a given driving cycle. Typical “top-down” metamodels are parametrized by both...

By using tailored pulse sequences from a novel, 1.5-microm direct space-to-time pulse shaper driving a high-speed photodetector, we have achieved, for the first time to our knowledge, millimeter-wave arbitrary waveform generation at center frequencies approaching 50 GHz. By appropriately designing the driving optical pulse sequences, we demonstrate the ability to synthesize strongly phase- and ...

As one of important implications on electric vehicles, driving cycles are recognized as essential components for evaluating the comprehensive performances and they have drawn much attention research. Currently, constructed specifiedly in international standards based local traffic conditions. However, without consideration private habits, unproper lead to imprecision predicting remaining useful...

the fear of driving can be severe enough to be considered a phobia. it is often great enough that people will avoid driving at all costs and instead find someone to drive them or use public transportation, regardless of how inconvenient or expensive. this fear will cause many to avoid driving, create excuses to not drive, or even refuse to get a driver's license for years. the aim of this ...

This paper presents a freeway driving cycle (FDC) construction method based on traffic information. A float car collected different type of roads in California and we built a velocity fragment database. We selected a real freeway driving cycle (RFDC) and established the corresponding time traffic information tensor model by using the data in California Department of Transportation performance m...