The Research Around The Road Network Optimization Of Resort On Holiday

Along with the policy implementation of the statutory holidays and the improvement of people’s living standards, people who traveled statutory holidays every year rapid growth. At the same time,as the rapid development of China’s economy, the improvement of the road network and the rapid development of automobile industry, the private car has been very popular, so compared to the conventional train or plane for the trip transportation, more and more people tend to driving themselves because that it’s not only very comfort and freedom, but also full of personalization. But the consequences was that during the holidays, the route network around the tourist attractions appeared congestion situation, not only affected the daily travel of local residents, also affected the efficiency of travel of the tourists, which is becoming restricted negative factors of Tourist Urban Development. Therefore, this paper proposed solutions to alleviate the road network congestion of the tourist attractions on holiday, from the perspective of network optimization.Based on the theory of the holiday travel traffic, the gray multiple regression prediction model was used to predict the amount of the holidays tourists. Based on the prediction theory of traffic sharing rates, single exponential smoothing model was used to predict the proportion of the vehicle, the amount of self driving vehicle would be as the data basis for follow-up works.Based on the research status of determination method of traffic impact area,this paper adopted improved spherical extrapolation method to predict the traffic impact range of tourist attractions.By surveying the trip distance- distribution curves,this paper obtained the reduction coefficient of spherical extrapolation, reduced errors; By introducing the concept of equivalent capacity and using the relative surplus equivalent capacity, this paper improved the traffic impact determination threshold value.By referencing biology Physarum model and using its network optimization mechanism, the paper optimized the road network within the traffic impact range of tourist attractions. By improving relations impedance function and studying the relationship of traffic and vehicle lane width, the paper established the smallest and most suitable motor vehicle track width model. The minimum lane widths of the vehicle in the network optimization were seeked by MATLAB programming algorithms. The minimum motor vehicle lane width of the road within the traffic impact range of tourist attractions on holiday can be achieved to equivalent effect by some traffic organization measures, provided the basis of traffic operation to improve the traffic congestion around the tourist attractions during the holiday in future.Finally, this paper took Qujiang integrated resort in Xi’an as an example, predicted the amount of the vehicles in Qujiang integrated resort on 2016 Wuyi holiday peak day, and then using the improved spherical extrapolation method made the traffic scope of Qujiang resort. Within this range, the minimum width of each section of the motor vehicle lanes around the scenic road network were abtained by using the road network bionic optimization model, providing the basis for traffic operation during the holidays.