Year by year, traffic congestion is severe on street in big cities such as Tokyo because vehicles increase rapidly compared to constant street surface. Furthermore, this problem causes economic and environmental waste. Therefore the attempt to monitor vehicles and their behaviors becomes challenging demanding unavoidably on vehicle statistical analysis for efficient and effective traffic planni...

Considering the present business competitive scenario, the automotive industry is under pressure to achieve higher productivity. A high level of performance and quality standard could be achieved through improving the Overall Equipment Effectiveness (OEE) of the equipment in an automotive industry. Thus, the aim of this study is to investigate the performance measurement through OEE theory in a...

A novel technique for identifying soil parameters on-line while traversing with a tracked vehicle on unknown terrain is presented. This technique, based on the Newton Raphson method is used to identify unknown soil parameters. Comparing with the Least Square method, it shows that the Newton Raphson method is better in terms of prediction accuracy, computational speed, and robustness to initial ...

Knowledge of the location of curbs, walls, or barriers is important for guidance of vehicles or for the understanding of their surroundings. We have developed a method to detect such continous objects alongside and in front of a host vehicle. We employ a laser line striper, a vehicle state estimator, a video camera, and a laser scanner to detect the object at one location, track it alongside th...

Automotive safety is an important criterion for consumers, manufacturers and government regulators when considering vehicle design and driver operation. The availability of a driver classification system, based on in-vehicle operating data, offers a useful tool to create a safer transportation environment. In this paper, several mathematical strategies will be presented to analyse collected veh...

Vehicle trajectories contain rich information on microscopic phenomena such as car following and lane changing. Despite many efforts to retrieve reliable trajectories from video images, previous approaches do not give high enough quality of trajectories that can be used in microscopic analysis. We introduce a new vehicle tracking approach based on a model-based 3-D vehicle detection and descrip...

This paper is about using range-only data to navigate an autonomous underwater vehicle (AUV). We assume the vehicle is equipped with conventional long base line (LBL) transceiver which measures acoustic time of flights (TOFs) between vehicle and small submerged transponders. Using only range data and no prior information other than approximate water column depth, we solve for both transponder l...

in this paper an optimal controller is proposed for a self-balancing electrical vehicle called segway pt. this vehicle has one platform and two wheels on the sides and the rider stands on the platform. a handlebar, as a navigator, is attached to the body of segway, with which the rider controls the vehicle. since segway uses electrical energy produced by batteries, resource consumption manageme...

As the biggest country in power consumption and generation, China owns largest scale of transmission line worldwide. The application unmanned aerial vehicle (UAV) inspection has been carried out for many years because its strong adaptability safety compared to traditional manual way. For further development UAV technology inspection, accumulated rich experiences greatly improved efficiency form...