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Short-term traffic forecast is vital for intelligent transportation systems. In this paper, a short-term traffic forecast model is proposed for the freeway network. This model proposed travel distance estimation (TDE) algorithm to predict the vehicles' positions in the near future. Moreover, historical traffic data are also considered by utilizing Autoregressive Integrated Moving Average (ARIMA) model...
Autonomous vehicle following system is an important research issue in the ITS(Intelligent Transportation System). After reviewing some currently used environment perception sensors, this paper employs Kinect sensor as the main device in detecting the angle and distance of the leader vehicle in relation to the following vehicle. This paper also propose a vision-based algorithm to process RGB-D data...
Vehicle following system is a branch of ITS (Intelligent Transportation System). The tacking accuracy is a vital evaluation criterion of the vehicle following system. This paper proposes a partial flexibility model for the vehicle following algorithm to promote the accuracy. We suppose that the follower vehicle is connected to the leader vehicle with a virtual flexible bar with two rigid joints. As...
An improved virtual flexible bar algorithm which aims at improving the trajectory tracking accuracy of automatic vehicle following system is proposed in this paper. To achieve successful vehicle following, the algorithm mainly consists two parts: the flexible bar which can fit the leader vehicle's trajectory and the force acting in the flexible bar which pull the follower vehicle to track the leader's...
Inter-vehicle separation measurement is crucial for intelligent vehicle system, in particular the autonomous vehicle. The measurement results can be used for regulating a safe inter-vehicle distance when an autonomous vehicle is trailing behind a leading vehicle. Furthermore, the measurement results can also be used for planning a safe path for over taking another vehicle by the autonomous vehicle...
A virtual flexible curved bar coupled with force delay algorithm is proposed for automatic vehicle following, aiming at improving the accuracy of vehicle trajectory tracking, especially when leader vehicle is accelerating or making turns. A virtual flexible curved bar with force delay has been modeled that connects the leader to the follower. The length of this virtual bar is a function of the turning...
Autonomous vehicle following system is a branch research in intelligent vehicle of ITS (Intelligent Transportation System). This paper proposes a virtual tail model for intelligent vehicle following systems, in connection with vehicle smooth trajectory characteristics. We suppose that the leader vehicle has a virtual flexible tail connected to its rear center to follow its movement. The tail is in...
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