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This paper presents a cooperative advanced driving assistance application for lane change maneuvers. The application is deployed on a smart mobile device equipped with a stereo imaging system, that implements the image processing tasks, and performs the fuzzy logic reasoning to asses the safety of the maneuver. Since cooperative driving assistance systems have gained extreme importance in the last...
In recent years, it has been shown that damages of casualties and property losses caused by vehicle rollover accidents are severe. Vehicle rollovers can easily cause secondary accidents such as chain collisions on freeways. Ground vehicles with relatively higher center of gravity on sharp curves are prone to rollover accidents. Therefore, it is of vital significance to design a rollover warning system...
Tracking accuracy plays a critical role in V2V (vehicle-to-vehicle communications) based active safety applications. This paper proposed a beacon rate control algorithm to reduce the tracking error. By analyzing the vehicle trajectory tracking process, it is found that the tracking error is proportional to the moving status of a vehicle, as well as the data delay. Due to the constraint of the wireless...
Lane-level roadway modeling is a key enabling technology in the deployment of automated vehicles and connected vehicle systems. A variety of applications for these systems would be enabled by the availability of up-to-date lane-level maps; however, current mapping solutions lack this resolution and are not dynamically updated. This paper will present a method for passively collecting vehicle basic...
In this paper, we address a driver behavior reconstruction problem which is important to enhance traffic safety. More specifically, the task in this study is to estimate the longitude tire force which can be transferred to the corresponding throttle/brake positions under the assumption that the steering angles are known. Although the sensors mounted on the throttle/brake pedals can directly measure...
This work is motivated by the following two potential applications: 1) enhancing driving safety and 2) collecting traffic data in a large dynamic urban environment. A laser-scanner-based approach is proposed. The problem is formulated as a simultaneous localization and mapping (SLAM) with object tracking and classification, where the focus is on managing a mixture of data from both dynamic and static...
Traffic congestion on major roadways costs our nation billions of dollars in lost earnings, wasted fuel consumption, injury and loss of human life. Providing motorists with real time roadway conditions is essential to mitigating traffic congestion. We propose a novel real-time messaging system that can be used to communicate imminent traffic conditions to motorists. Having such information can allow...
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