the previous studies show that a high percentage of traffic accidents take place in two-lane rural highways and most of which happen at horizontal curves. meanwhile the horizontal alignment is often subject to hard topographic conditions where because of economic aspects designers are forced to design horizontal curves at grades. vertical angle of longitudinal slope reduces the normal force of ...

Driver inattention or cognitive overload is among the leading contributor to road accidents. Driver behavioral cues could be employed in advanced driver assistance systems (ADASs) to alleviate such accidents. Facial and eye gaze are among the most import behavioral cues to reflect driver active state within the vehicle. With the intent to improve the human error related accidental controls in m...

overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. in this study, two novel prediction models for overtaking behavior are proposed. these models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (manfis). they are validated at microscopic level and are able to simulate and predict the future...

In this paper, we focus on developing driver-in-the loop fuel economic control strategy for multiple connected vehicles. The control strategy is considered to work in a driver assistance framework where the controller gives command to a driver to follow while considering the ability of the driver in following control commands. Our proposed method uses vehicleto-vehicle (V2V) communication, expl...

Research and development on vehicle safety has lately started to direct its focus towards how to actively support the driver and make it easier for her to drive safely through letting Advanced Driver Assistance Systems (ADAS) have effect on how the driver interacts with the vehicle and the surrounding traffic. This requires research on both how the driver and vehicle perform in different situat...

In this paper we demonstrate a driver intent inference system (DIIS) based on lane positional information, vehicle parameters, and driver head motion. We present robust computer vision methods for identifying and tracking freeway lanes and driver head motion. These algorithms are then applied and evaluated on real-world data collected in a modular intelligent vehicle test-bed. Analysis of the d...

The paper presents the preliminary result of the development of the eDPP (enhanced Dynamic Path Predictor) during overtaking situations. The eDPP application offers a higher degree of accident prevention through: advanced driver-information and driver-warning strategies; improved actuation using the new and enhanced ADASIS v2 (Advanced Driver Assistance Systems Interface Specifications, version...

We have developed a lane change aid system (LCAS), which detects vehicles behind in adjacent lanes with multi-line CCD sensors and informs the driver of vehicle location with a head-up display (HUD). Instead of processing camera images directly, a multi-line CCD sensor contains the pairs of line CCDs and measures two-dimensional distance distribution by comparing the brightness on line CCDs. To...

Driving under the influence of cannabis is an important public safety concern. Drug impaired driving endangers those both inside and outside the driver’s vehicle. Smoking, inhaling or eating cannabis with or without alcohol prior to driving is a common practice and increases the risks of driver impairment, motor vehicle crashes and fatalities. There are also new techniques for administering hig...

This paper reviews and compares car-following and lanechanging logics embedded in some microscopic traffic simulation models, and comments are made on the existing techniques of traffic simulation. Future directions of traffic simulation are identified in three aspects: vehicle modeling, driver modeling, and vehicle movement modeling. To illustrate these ideas, a conceptual model, 2DSIM, is pro...