This paper presents multiple methods for predicting heavy/mediumduty vehicle fuel consumption based on driving cycle information. A polynomial model, a black box artificial neural net model, a polynomial neural network model, and a multivariate adaptive regression splines (MARS) model were developed and verified using data collected from chassis testing performed on a parcel delivery diesel tru...

results mean age was 41.6 ± 9.2 for the military truck drivers and 43.4 ± 10.9 for commercial truck drivers (p > 0.05). no significant difference between military and commercial drivers was found in terms of driving experience, number of mvcs, binocular va, frequency of color vision defects and cs scores. in contrast, the last ocular examination was significantly earlier in military drivers tha...

This paper explores the impact of residential density on households’ vehicle type and usage choices using the 2001 National Household Travel Survey (NHTS). Attempts to quantify the effect of urban form on households’ vehicle choice and utilization often encounter the problem of sample selectivity. Household characteristics that are unobservable to the researchers might determine simultaneously ...

The dual-fuel diesel engine (D.F.D.E) is a conventional diesel engine in which much of the energy released, hence power, comes from the combustion of gaseous fuel such as natural gas. The exhaust emission characteristics of the D.F.D.E needs further refinements, particularly in terms of reduction of Unburnt Hydrocarbons (U7HC) and Carbon Monoxide (CO) emission, because the concentration of thes...

A promising application of cooperative driving is high-density platooning, which main goal to reduce fuel consumption by with inter-vehicle distances below ten meters. The prediction factors influencing the platoon capability drive such derived safe distances, drives potential saving. Our aim study influence prediction, especially horizon, on achieved saving as a function different maneuver par...

Heavy-duty diesel drayage trucks have a disproportionate impact on the air quality of communities surrounding major freight-handling facilities. In an attempt to mitigate this impact, the state of California has mandated new emission control requirements for drayage trucks accessing ports and rail yards in the state beginning in 2010. This control rule prompted an accelerated diesel particle fi...

Motivated by the field sta routing and scheduling problem of an Austrian infrastructure service provider, which involves the planning of subroutes, we study the truck and trailer routing problem (TTRP) [2]. In the TTRP, two types of customers are considered: customers that can be visited by a truck pulling a trailer (denoted as vehicle customers) and customers that can only be visited by a truc...

A noble low NOx combustion technology, based on partial oxidation combustion concept in a fuel rich combustion zone, is successfully applied in this research. The burner is designed such that a portion of fuel is heated and pre-vaporized in the furnace then injected into a fuel rich combustion zone so that a partial oxidation reaction occurs. The effects of equivalence ratio, thermal load, and ...

This paper introduces an approach for optimal scheduling of external trucks in container terminals. The proposed integrates the k-means clustering algorithm with a bi-objective optimization model. matches export and import containers into tuples, reducing number empty trips. model objectives are: minimizing deviation from trucking companies’ preferred arrival times total truck turnaround times,...

The global terrestrial carbon sink has increased since the start of this century at a time of growing carbon emissions from fossil fuel burning. Here we test the hypothesis that increases in atmospheric aerosols from fossil fuel burning enhanced the diffuse light fraction and the efficiency of plant carbon uptake. Using a combination of models, we estimate that at global scale changes in light ...