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We present a recognition-driven navigation system for large-scale 3D virtual environments. The proposed system contains three parts, virtual environment reconstruction, feature database building and recognition-based navigation. The virtual environment is reconstructed automatically with LIDAR data and aerial images. The feature database is composed of image patches with features and registered location...
With the increase in population and rapid urban sprawl in the major big cities in China, traffic monitoring in the inner-suburban areas is becoming an urgent problem to be solved. This paper proposes using cellular network for inner-suburban freeway traffic monitoring. Backgrounds of cellular network and wireless location technologies are firstly introduced. Related works including simulation tests...
Time-headway between two subsequent vehicles in traffic flow is determined both by traffic dynamics and individual fluctuations, showing a complex behavior. Analyzing real traffic data from multiple sections of urban freeway, we show that the time-headway distributions under different velocities are fitted well with a class of distributions which can be decomposed into an exponential distributed variable...
At present, research on traffic flow theory has mainly focused on highway traffic, which is significantly different from urban freeway traffic. Traffic science is an "empirical science", and as such is it is based on empirical urban freeway traffic flow data. In this study, first four steady phases are identified in the flow-density plane of traffic flow: free flow, coherent-moving flow,...
Bus route evaluation (BRE) of the public transit system in Beijing is requisite decision to regulate existing bus routes and reallocate transit resources for sustain operation. Since there wasn't a systematic BRE system for Beijing, firstly, this paper develops comprehensive BRE standards according to the status quo of Beijing's transit system, which includes 3 categories, 20 criterions in total....
In the context of serious congestion in most metropolitan areas and the development of intelligent transportation technology, variable message signs (VMS), as a part of route guidance system, are developed to alleviate congestion via providing drivers real-time travel information. It is expected that by providing dynamic travel time to drivers, both the congestion in network and average individual...
A combination forecasting model of urban ring road traffic flow based on neural network, Kalman filter and ARIMA model is proposed in this paper, and the traffic flow data of Beijing third-ring-road (BTRR) are explored to test the validity of the model. The experimental results show that combination forecasting cannot improve the forecasting precision in contrast to which ARIMA model and neural network...
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