In this paper, we study the impact of using a new intelligent vehicle technology on the performance and total cost of a European port, in comparison with existing vehicle systems like trucks. Intelligent autonomous vehicles (IAVs) are a new type of automated guided vehicles (AGVs) with better maneuverability and a special ability to pick up/drop o containers by themselves. To identify the most ...

This paper presents the approach and methodology of the Large Truck Crash Causation Study (LTCCS), undertaken jointly by the Federal Motor Carrier Safety Administration and the National Highway Traffic Safety Administration. The LTCCS is a study of a nationally-representative sample of serious and fatal heavy truck crashes occurring between 2001 and 2003. The data collected provides a detailed ...

We consider a pickup and delivery vehicle routing problem (PDP) commonly found in the realworld logistics operations. The problem includes a set of practical complications that have received little attention in the vehicle routing literature. There are multiple vehicle types available to cover a set of transportation orders with different pickup and delivery time windows. Transportation orders ...

The reduction of vehicle interior noise has long been the main interest of noise and vibration harshness (NVH) engineers. A driver’s perception of vehicle noise is largely affected by psychoacoustic noise characteristics and SPL. Among the various types of vehicle interior noise, the sound of the heating, ventilation, and air conditioning (HVAC) systems is a source of distraction for drivers. H...

The study describes an investigation of the relationship between crash occurrence and hourly volume counts for small samples of highway segments from two states: Michigan and Connecticut. We used a hierarchical Bayesian framework to fit binary regression models for predicting crash occurrence for each of four crash types: (1) single-vehicle, (2) multi-vehicle same direction, (3) multi-vehicle o...

This paper presents a unified exact method for solving an extended model of the well-known Capacitated Vehicle Routing Problem (CVRP), called the Heterogenous Vehicle Routing Problem (HVRP), where a mixed fleet of vehicles having different capacities, routing and fixed costs is used to supply a set of customers. The HVRP model considered in this paper contains as special cases: the Single Depot...

Problem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represented by typical public road transport. The features from raw radar signal were extracted manually ...

Pilots rely upon visual information conveyed by computer-generated perspective displays in cockpits, and also by out-the-window (OTW) scenes rendered in simulators, to perform control tasks. Because even the most advanced graphics system cannot recreate the full complexity of a natural perspective scene (due to limitations in spatial and temporal resolution, dynamic range, field-of-view, and sc...

The factors associated with severity of the bicycle crashes may differ across different bicycle crash patterns. Therefore, it is important to identify distinct bicycle crash patterns with homogeneous attributes. The current study aimed at identifying subgroups of bicycle crashes in Italy and analyzing separately the different bicycle crash types. The present study focused on bicycle crashes tha...

Most successful solution methods for solving large vehicle routing and scheduling problems are based on local search. A drawback of these approaches is that they are designed and optimized for specific types of vehicle routing problems (VRPs). As a consequence, it is hard to adapt these solution methods to handle new restrictions without losing solution quality. This is a particular drawback, s...