Sales and Impact of Class 2b Trucks

Author(s):  
Stacy C. Davis ◽  
Lorena F. Truett

Vehicles in the upper portion of the Class 2 weight range [6,000 to 10,000 lb gross vehicle weight rating (GVWR)] were identified and examined, and their impact was assessed. Class 2b vehicles (GVWR of 8,500 to 10,000 lb) include pickup trucks, sport utility vehicles, and large vans. Oak Ridge National Laboratory researched each individual truck model to determine which models were Class 2b trucks and developed four methodologies to derive sales volumes. Two methods were recommended for producing believable and reliable results. The results of the study indicate that in calendar year 1999, 521,000 Class 2b vehicles (6.4% of sales of all trucks under 10,000 lb) were sold; 82% of Class 2b vehicles sold were pickups, and one-third of Class 2b vehicles sold had diesel engines. In 2000, 5.8 million Class 2b vehicles (7.8% of all trucks under 10,000 lb) were on the road; 24% of the Class 2b vehicle population had diesel engines, and Class 2b vehicles accounted for 8% of annual miles traveled by trucks under 10,000 lb and 9% of fuel use. Data on Class 2b vehicles are scarce. As the Tier 2 standards (which apply to passenger vehicles in the 8,500 to 10,000 lb GVWR category) become effective, additional data—not only about emissions, but also about all areas—on Class 2b vehicles may become available. At the moment, distinguishing Class 2b vehicles from all Class 2 vehicles is a substantial task that requires individual model data.

Author(s):  
Aigul Ospanovna Dauitbayeva ◽  
Elmira Nurlanovna Tulegenova ◽  
Sapar Omir ◽  
Mukhtar Kozhan

Nowadays, it is important for users to know how to contact a corporate information system. There is a need for broadband connection, whether it’s fixed line or Wi-Fi, as it’s not rare for users to work on the road. At the moment, virtual technologies are widely popular, they have a high place in modern companies. Because they allow the voice server to communicate to one workplace. It does not require staff always to keep up-to-date with the Service, and there’s no need to be there, so use remote access. Many institutions have been fixed or fixed through a mobile connection that ensures optimal connection of mobile workers through the terminal. They work with voice data transmission services. It ensures that employees are always in touch.


2018 ◽  
pp. 167-182
Author(s):  
Carlo Cenciarelli

Right from the start, Before Sunrise presents us with the problem of its ending. The film narrates the on-the-road romance of Jesse and Celine, who meet on a train through central Europe, fall for each other, and decide to spend a day and night together in Vienna before continuing their respective journeys, never to see each other again. In a move that is typical of indie cinema, the two protagonists trade the idea of a ‘happily ever after’ with the possibility of experiencing a moment together. And yet, for this same reason, their time together is inseparable from the feeling of the approaching goodbye, which threatens their very ability to experience the moment. My chapter explores how Before Sunrise draws on music to find a solution to this conundrum. I show that, as we approach the temporal deadline of the title, Bach’s music is used to mobilise a set of complementary eschatological frameworks that are meant both to freeze and extend the time in Vienna. More broadly, I suggest that the film provides a model of cinema’s use of music to make sense of endings and of the time-bound nature of the cinematic experience.


Author(s):  
Khashayar Hojjati-Emami ◽  
Balbir S. Dhillon ◽  
Kouroush Jenab

Nowadays, the human error is usually identified as the conclusive cause of investigations in road accidents. The human although is the person in control of vehicle until the moment of crash but it has to be understood that the human is under continued impact by various factors including road environment, vehicle and human's state, abilities and conduct. The current advances in design of vehicle and roads have been intended to provide drivers with extra comfort with less physical and mental efforts, whereas the fatigue imposed on driver is just being transformed from over-load fatigue to under-load fatigue and boredom. A representational model to illustrate the relationships between design and condition of vehicle and road as well as driver's condition and state on fatigue and the human error leading to accidents has been developed. Thereafter, the stochastic mathematical models based on time-dependent failure rates were developed to make prediction on the road transportation reliability and failure probabilities due to each cause (vehicle, road environment, human due to fatigue, and human due to non fatigue factors). Furthermore, the supportive assessment methodology and models to assess and predict the failure rates of driver due to each category of causes were developed and proposed.


2015 ◽  
Vol 27 (6) ◽  
pp. 660-670 ◽  
Author(s):  
Udara Eshan Manawadu ◽  
◽  
Masaaki Ishikawa ◽  
Mitsuhiro Kamezaki ◽  
Shigeki Sugano ◽  
...  

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/08.jpg"" width=""300"" /> Driving simulator</div>Intelligent passenger vehicles with autonomous capabilities will be commonplace on our roads in the near future. These vehicles will reshape the existing relationship between the driver and vehicle. Therefore, to create a new type of rewarding relationship, it is important to analyze when drivers prefer autonomous vehicles to manually-driven (conventional) vehicles. This paper documents a driving simulator-based study conducted to identify the preferences and individual driving experiences of novice and experienced drivers of autonomous and conventional vehicles under different traffic and road conditions. We first developed a simplified driving simulator that could connect to different driver-vehicle interfaces (DVI). We then created virtual environments consisting of scenarios and events that drivers encounter in real-world driving, and we implemented fully autonomous driving. We then conducted experiments to clarify how the autonomous driving experience differed for the two groups. The results showed that experienced drivers opt for conventional driving overall, mainly due to the flexibility and driving pleasure it offers, while novices tend to prefer autonomous driving due to its inherent ease and safety. A further analysis indicated that drivers preferred to use both autonomous and conventional driving methods interchangeably, depending on the road and traffic conditions.


2018 ◽  
Vol 3 (11) ◽  
pp. 32-36 ◽  
Author(s):  
Cao Dao Nam ◽  
Van Vang Le

Diesel engines are more efficient than forced ignition engines but due to diffused combustion and work with high air residue levels, burning products contain soot and NOx, pollutants that work Handling it on the road today still has many technical problems. The technology of organizing the combustion of diesel engines directly affects the level of pollution generated. Direct injection diesel engines have a lower fuel consumption than a combustion engine with a separation of about 10% and a lower level of soot emissions when the engine is operating in local loading mode. However, direct injection engines work noisier and generate more pollutants (NOx, HC). Today, this type of combustion chamber is only used for heavy-duty truck engines. Limiting the optimal emission level for diesel engines needs to balance the concentration of the two main pollutants, NOx and soot. Low temperature combustion (LTC) engines need different enabling technologies depending on the fuel and strategy used to achieve combustion of the premixed fuel–air mixture. Controlling the combustion rate is one of the major challenges in LTC engines, particularly in PPCI combustion engine to achieve higher thermal efficiency, the desired phasing of combustion timings is essential even at moderate combustion rates. Present chapter describes the combustion control variables and control strategies used for LTC engines. Various methods demonstrated to control the LTC engines can be categorized in to two main strategies: (i) altering pressure–temperature and (ii) altering fuel reactivity of the charge.


2013 ◽  
Vol 4 (1) ◽  
pp. 25-39 ◽  
Author(s):  
Khashayar Hojjati-Emami ◽  
Balbir S. Dhillon ◽  
Kouroush Jenab

Nowadays, the human error is usually identified as the conclusive cause of investigations in road accidents. The human although is the person in control of vehicle until the moment of crash but it has to be understood that the human is under continued impact by various factors including road environment, vehicle and human’s state, abilities and conduct. The current advances in design of vehicle and roads have been intended to provide drivers with extra comfort with less physical and mental efforts, whereas the fatigue imposed on driver is just being transformed from over-load fatigue to under-load fatigue and boredom. A representational model to illustrate the relationships between design and condition of vehicle and road as well as driver’s condition and state on fatigue and the human error leading to accidents has been developed. Thereafter, the stochastic mathematical models based on time-dependent failure rates were developed to make prediction on the road transportation reliability and failure probabilities due to each cause (vehicle, road environment, human due to fatigue, and human due to non fatigue factors). Furthermore, the supportive assessment methodology and models to assess and predict the failure rates of driver due to each category of causes were developed and proposed.


2018 ◽  
Vol 3 (2) ◽  
pp. 1-8
Author(s):  
Tomasz Bardel

The stabilization of landslide is usually very costly, which is why optimal slope reinforcement should be based on exact geological investigations. The described case of a small landslide on the road in the Carpathians presents the process of documenting, stability analysis and design solutions for slope reinforcement. Depth of slip surface was the most important information for slope reinforcement first-design. Collapsed slope was subjected to re-analysis of stability, taking into account additional data already obtained during slope reinforcement. Stability modeling results indicate a different range and depth of the slip surface than those use for design, which had a major impact on the costs of stabilization.


Author(s):  
Sangjin Kim ◽  
Andrej F. Sokolik ◽  
Andrzej S. Nowak

The objective of the study was to determine the actual truck loads on selected bridges in the Detroit, Michigan, area. Seven representative bridges were selected. The measurements were taken by using a weigh-in-motion system. For each measured truck, the record included vehicle speed, axle spacing, and axle loads. The variation in the accuracy of the gross vehicle weight (GVW) measurement was estimated to be ±5 percent and that of the axle weights was estimated to be ±20 percent for most types of trucks. Selected bridges were instrumented, and measurements were taken for 2 or 3 consecutive days. There was a considerable variation in traffic volumes and the weights of trucks, even within a given geographic area. The estimated average daily truck traffic varied from 500 to 1,500 in one direction. The maximum observed truck weights varied from 360 kN (81 kip) to 1100 kN (250 kip). The maximum observed axle weights varied from 90 kN (20 kip) to 225 kN (50 kip). The percentage of trucks exceeding the legal limits in Michigan varied depending on the road. The heaviest GVWs and axle weights were observed on Interstate highways. The largest percentage of overloaded trucks was observed for 11-axle vehicles. The maximum lane moments and shears from the trucks varied between 0.6 and 2.0 times AASHTO load and resistance factor design values. It was found that there are similarities in GVW and lane moment distributions.


Author(s):  
Nicholas S. Johnson ◽  
Hampton C. Gabler

Electronic stability control (ESC) is a vehicle safety system designed to keep vehicles moving in the direction commanded by the driver and thereby prevent loss-of-control crashes. Previous research has shown that ESC has been highly effective at reducing road departures related to loss of control. ESC is mandatory in all U.S. passenger vehicles manufactured from model year 2012 onward; by a 2014 estimate, ESC is in approximately one-third of passenger vehicles on the road. The proliferation of ESC may therefore alter benefit-to-cost ratios for roadside barriers. The objective of this analysis was to determine the effect of ESC on fatal crashes with roadside barriers. This objective was a first step toward determining whether ESC reduced the overall rate of crashes with roadside barriers and whether ESC had any effect on impact conditions or injury outcomes in barrier crashes. For cars, ESC reduced the odds of fatal crashes with roadside barriers by about 50% and reduced the odds of fatal rollovers that occurred in association with roadside barriers by about 45%. For light trucks and vans, ESC reduced barrier fatality odds by about 40% and barrier-associated rollover fatality odds by about 55%. By 2028, when an estimated 75% of passenger vehicles will have electronic stability control, ESC will have the potential to prevent about 410 out of an estimated 1,180 possible barrier-related fatalities per year. In the long term, once installed in every U.S. passenger vehicle, ESC could prevent about 550 of those same 1,180 possible barrier-related fatalities each year.


2020 ◽  
Vol 11 (4) ◽  
pp. 73
Author(s):  
Rick Wolbertus ◽  
Robert van den Hoed

This paper explores current and potential future use of fast charging stations for electric passenger vehicles. The aim of the paper is to analyse current charging patterns at fast charging stations and the role of fast charging among different charging options. These patterns are explored along the lines of the technical capabilities of the vehicles and it is found that with increasing battery capacity the need for fast charging decreases. However, for those vehicles with large charging capacities there are indications that fast charging is perceived as more convenient as these are used more often. Such results indicate a larger share for fast charging if charging capacities increase in the future. Results from a spatial analysis show that most fast charging is done at a considerable distance from home, suggesting mostly ‘on the road’ charging sessions. Some fast charging sessions are relatively close to home, especially for those without private home charging access. This shows some future potential for fast charging in cities with many on-street parking facilities.


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