We study a cross-dock operator’s truck scheduling problem at inbound doors in case of unknown truck arrival times. Due to uncertainty of truck arrivals, a scheduling strategy is subject to variations in costs of serving the trucks. A cost-stable scheduling strategy is defined as a schedule with low variation levels. In this paper, we analyze the cross-dock operator’s problem of determining a co...

In India, men who have sex with men (MSM) and truck drivers are high-risk groups that often do not access HIV testing due to stigma and high mobility. This study evaluated a field testing package (FTP) that identified HIV positive participants through video pre-test counseling, OraQuick oral fluid HIV testing, and telephonic post-test counseling and then connected them to government facilities....

The relationship between employment in occupations with potential exposure to motor exhaust and bladder cancer risk was examined based on interviews conducted with 1909 white male bladder cancer patients and 3569 population controls during the National Bladder Cancer Study, a population-based, case-control study conducted in ten areas of the United States. Our findings indicated that males usua...

There is an old well-known story about a novice truck driver driving a tall truck who misjudged the clearance below an overhead railway bridge. In trying to pass through, the truck got stuck under the bridge and thereafter would not drive in either forward or reverse gear. With the traffic blocked, a crowd began to gather around, and many people tried to help by pushing the truck but could not ...

This paper presents a method for extraction and recognition of trucks from aerial photographs. A new method, mean shift image segmentation, is employed to extract truck shadow and boundary information. After a conversion of the boundaries into vector data, an enclosing minimum area rectangle is fit to each boundary. These rectangles are input as candidates into a designed Hopfield Neural Networ...

A method to improve model based diagnosis for the air path of a truck engine is presented. Originally, inaccuracies in both the volumetric efficiency static model and sensors limited the diagnosis performances. Statistical charts built from truck operational data were tested in order to reduce the overall residual dispersion. Data taken from two different trucks working in various operating con...

This paper investigates development of power management strategies tailored specifically to a medium truck with parallel hydraulic hybrid powertrain. The hydraulic hybrid vehicle (HHV) system is modeled in MATLAB/SIMULINK environment. As the starting point, this study considers rule-based power management strategy adopted from the previous HEV study. Dynamic Programming (DP) algorithm is used t...

Light-duty truck classification allows manufacturers and owners to avoid a host of passenger-car regulations, including gas-guzzler taxes, safety standards, and more stringent emissions and fueleconomy standards. This paper describes the distinct policies that govern light duty trucks and passenger cars, evaluates the emissions, safety, and fuel economy differences that have resulted, and inves...

The feasibility of several alternatives to long-haul truck idling are investigated. Battery Powered systems (BPS) where batteries are charged off the alternator is considered. Moreover, BPSs with various battery types are compared to determine which one would have the greatest impact on the fuel consumption and overall performance. In addition, applicability of thermal energy storage (TES) is s...

In this paper, we describe a new framework to combine experts’ judgments for the prevention of driving risks in a cabin truck. In addition, the methodology shows how to choose among the experts the one whose predictions fit best the environmental conditions. The methodology is applied over data sets obtained from a high immersive cabin truck simulator in natural driving conditions. A nonp...