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In order to relieve traffic congestion and accidents caused by vehicles merging into main road from ramp, the important influence factors of merging behavior were analyzed firstly. Then, traffic conditions under different traffic volume of ramp and main road and different length of acceleration lane were simulated by Vissim. According to security and efficiency evaluation measured by conflict intensity...
In order to represent the fuzzy attribute of traffic state, this paper first analyzed the characteristics and spread mechanism of traffic congestion on urban road network. Then a traffic state coefficient was introduced to measure the congestion level on road sections. On the basis of cloud theory, a fuzzy method of traffic state identification was proposed. By constructing judgment matrix, an analytic...
In order to improve the traffic security level of freeway, this paper first analyzed the mechanisms of traffic accidents on long steep slope. Then, traffic conditions under different actual loading rates and slope lengths were simulated by Vissim. According to security evaluation measured by average speed and conflict intensity, reasonable slope length was selected under certain loading rate. Finally,...
According to the problem of predicting highway port freight volume, the BP neural network combination forecasting model is proposed based on the study of commonly used forecasting methods including time series forecast, gray system forecast and combination forecast method. Combined with the freight traffic condition of Suifenhe highway port, the combination forecasting model is verified. The experimental...
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