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Human reaction time has a substantial effect on modeling of human behavior at a microscopic level. Drivers and pedestrian do not react to an event instantaneously; rather, they take time to perceive the event, process the information, decide on a response and finally enact their decision. All these processes introduce delay. As human movement is simulated(More)
This paper studies on traffic flow characteristics and lane changing behaviors at two representative locations of Beijing urban expressway bottlenecks. On the basis of real data collection, density-flow characteristic of each lane is analyzed and the factors that affect the frequency of lane changing behaviors are focused on. Results indicate the close(More)
This paper studies the following driving scenario that is common in China and many Asian developing countries: a bus has to temporarily occupy the bicycle lane in order to stop and pick up passengers, where the mixed traffic flow is composed of motorized vehicles and bicycles. A special cellular automation model is proposed to examine the governing factors(More)
This paper studies cooperative signal strategies for Beijing expressway ramping control. Particularly, the distance between on-ramp and off-ramp ranges from 100m to 1000m. Four signal control strategies are proposed and tested under 3 kinds of traffic flow states and 38 kinds of road network structures in VISSIM. Results indicate that the cooperative signal(More)
The problem we addressed is to find frequent item pairs over massive transaction data. Many practical applications, such as search log mining and network analysis, are related to this finding frequent itemsets. The motivation of our project is to explore the customer behaviors behind the transaction, for example, what kind of items people are likely to(More)
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