Urban traffic flow simulation has been important for making new control strategies that can reduce traffic jams. In this paper, we propose a method to microscopically simulate urban traffic flow based on multi-agent systems. Our proposed model is composed of four kinds of agent sets to be cooperated one another. This paper especially describe vehicle agents, each of which emerges traffic flow directly. Each vehicle agent uses two types of knowledge bases to determine its own actions to realize more realistic simulation, in which one includes basic traffic rules, e.g., stop if the signal is red, and the other includes drivers' individualities, e.g., speed maniac. In determining a behavior, each agent first recognizes neighboring environments, then an action is achieved by repeating one of three unit driving operations, i.e., acceleration, braking, or steering operations. We have developed a 3D animation system to visualize traffic flow, demonstrating that traffic jams are emerged due to interaction among vehicle agents.

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This paper presents two virtual reality applications that give real baseball experience by means of wireless acceleration sensor and strip screen. These applications have more direct and intuitive input method than traditional baseball video games. Wireless acceleration sensor allows us the same motion as real pitching motion. Strip screen connects the real world where the player and the real ball are and the virtual world where the virtual ball and virtual actors are seamlessly.

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We propose two kinds of technique for synthesizing background panned video sequence images and CG models in order to design outdoor vehicles such as cars.
One is for synchronizing a moving CG model with background panned video sequence images; the designer needs not any skill for the steps of the synthesis. Another one is for synchronizing background panned video sequence images with a moving CG model; the designer can freely set the route and speed of his/her CG model, but the synthesizing software has to reedit with suitable motion blur.

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We propose a car navigation system using an Augmented Reality (AR) technique that consists in (I) taking a real-time video using an equipped camera on front of the vehicle, (II) extracting road geometry information from the video by a Computer Vision technique, (III) modeling three-dimensional Computer Graphics (3D-CG) by a CG technique, and (IV) overlaying the 3D-CG into the real-time video. There are two advantages in our system. One is the reduction in cost to model detailed 3D-CG data by collecting and analyzing road geometry information in real-time. The other is to improve high instantaneous visibility in car navigation display by an AR technique. The result of the investigation of comparing an ordinary display method with our display method for availability for car navigation is that 85% of 100 examinees have preferred our display method instead of the ordinary 3D-CG display method. The challenges and future works of the proposed method simple AR system are described by the experimental result of an implementation in prototype phase and a simulation of our method.

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