The obstacle edge detection technology used in the parking assistant system helps drivers avoid obstacles, especially for inexperienced drivers. Reversing image processing, as part of smart driving, must meet the parking requirements of real-time and accuracy. Processing system should convert the color images from CCD camera to grayscale, abate noise and immunity with non-linear median filterin...

Transit services are currently facing several challenges in the United States and around the world. For many reasons, among which the fluctuations in gas prices and the state of the economy are the major ones, transit demand has noticed a considerable increase. The challenge that transit agencies are facing is to make these increases permanent by maintaining transit’s competitive edge over the ...

background the most accidents can be directly attributed to human factors. hence, more traffic crashes result from driver malfunctioning which from among them, the driver behavior is a proximal factor in the road traffic injuries causation chain. objectives this study aims to investigate relationship between aberrant driving behaviors questionnaire (dbq factors) and self-report crashes involvem...

The limited driving range of electric vehicles (EV) is one of the biggest deployment challenges for electromobility. We use GPS driving data from a fleet of about 1,000 conventional private vehicles collected over two years to simulate energy consumption of electric cars. We estimate how much energy is required for EV charging at home and at a secondary parking location (e.g., at work) and to w...

Since driving behaviors are cross-cultural in nature, they are directly under the influence of the ethical characteristics and mentality of individuals. This reality dramatically connects the driver behavior studies to the study of the humanities. People's jobs can substantially affect their beliefs and legitimacy, which are two critical indicators that successively affect the social lifestyle....

Providing accurate and real-time bus travel time information is crucial for both passengers public transportation managers. However, in the traditional prediction model, due to lack of consideration influence different drivers’ driving styles on time, result not ideal. In historical data all drivers entire line are usually used training prediction. Due great differences individual styles, eigen...