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Travel time estimation is one of the core problems in Intelligent Transportation System (ITS) and Floating Car Data (FCD) is an important data source used by many cities to estimate it. This paper utilizes the Next Generation Simulation (NGSIM) project dataset to simulate the FCD scenario, to test the accuracy of FCD based link travel time estimation. In the first part, the calculated time from simulated...
Intelligent Transportation Systems are based on the acquisition of urban traffic information timely and accurately. This paper puts forward a prototype system of Wireless Traffic Information Service System(WTISS). In WTISS, vehicles equipped with wireless communication module are regarded as moving sensors on traffic network. Road-side station can get traffic status by analyzing data collected by...
From 8th to 24th in August 2008, a set of Traffic Demand Management (TDM) policies were applied in Beijing during the 2008 Olympic Games. These TDM strategies include improving performance of the existing transportation network, staggering work schedules and limiting the use of public vehicles and private vehicles. This paper studies the performance targets, the implementation details and the effects...
Knowledge of vehicle headway distribution is very important for intelligent transportation and intelligent vehicle simulations. Various headway distribution models have been proposed, but most of them only fit for a certain traffic situation. To solve this problem, we study the dependence of headway distributions on traffic status in this paper. Results show that the log-normal distribution model...
Visual sensing plays an essential role in intelligent vehicles. With the aid of visual sensors, driver assistance systems can alert the driver to dangerous situations or actions (such as swerving out of the lane or disregarding traffic signs or lights), or even independently take control of the vehicle. Currently, research on vehicle vision systems is receiving continuous global interest.This paper...
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