We present a new agent-based system for detailed traffic animation on urban arterial networks with diverse junctions like signalized crossing, merging and weaving areas. To control the motion of traffic for visualization and animation purposes, we utilize the popular follow-the-leader method to simulate various vehicle types and intelligent driving styles. We also introduce a continuous lane-changing model to imitate the vehicle's decision-making process and dynamic interactions with neighboring vehicles. By applying our approach in several typical urban traffic scenarios, we demonstrate that our system can well visualize vehicles' behaviors in a realistic manner on complex road networks and generate immersive traffic flow animations with smooth accelerating strategies and flexible lane changes.
We present a video-based approach to learn the specific driving characteristics of drivers in the video for advanced traffic control. Each vehicle's specific driving characteristics are calculated with an offline learning process. Given each vehicle's initial status and the personalized parameters as input, our approach can vividly reproduce the traffic flow in the sample video with a high accuracy. The learned characteristics can also be applied to any agent-based traffic simulation systems. We then introduce a new traffic animation method that attempts to animate each vehicle with its real driving habits and show its adaptation to the surrounding traffic situation. Our results are compared to existing traffic animation methods to demonstrate the effectiveness of our presented approach.
Electrical capacitance tomography (ECT) is a non-intrusive and non-invasive imaging technique for the visualisation of material distribution, e.g. in a gas-solid fluidised bed. So far, ECT has been successfully used in gas-solid fluidised beds at ambient temperature. However, ECT has been rarely used in high-temperature gas-solid fluidised beds, which is of practical importance in many applications. Considering that most fluidised bed reactors are operated at high temperature, it is necessary to investigate the application of ECT in high-temperature industrial processes. In this work, a high-temperature ECT sensor, which can withstand 1073 K, is designed and fabricated. It has been verified by three stationary objects. The results show that the ECT sensor can give satisfactory images at different high-temperature levels and the change in temperature has little effect on the signal-to-noise ratio. It has also been found that the minimum bubbling velocity estimated by ECT is the same as that obtained by pressure drop measurements, and two fluidisation regimes, i.e. bubbling and slugging can be identified by ECT.
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