Research on Scenic Distributing Flow Scheduling and Security Application Based on Matlab

This paper uses Matlab and a series of mathematical modeling knowledge to start research. According to the scenic spot load rate situation, various diversion resources should be reasonably allocated to ensure that attractions with high loading rates have preferential access to diversion resources. It is more effective to use the relationship between attractions and resource points to rationalize the dispatch, rather than one-sided scheduling of resources, number of people, distance, and diversion capability. In the tourist peak areas, there are some phenomena such as high traffic volume, high crowding intensity and high load rate of popular spots. The demand for tourist diversion of scenic spots refers to tourists using transport or walking to go to the next tourist attraction, which has a part of the demand for transport and pedestrian roads. Based on the analysis of this distributive resource capability, the gravity-distribution dispatching model of diversion resources for tourists' traveling movement will be analyzed in the space-time dimension. 1. Research Background During the May 1st holiday, Taishan once again welcomed the passenger flow peak. Before the arrival of the small holiday, the Taishan Scenic Area Information Center integrated the Wuli passenger flow data of the calendar year, the number of people entering the mountain on March 15th, the online sales data of the scenic area network, the data of Ctrip, Baidu maps, the reservation of the scenic spot team, and other aspects. , Made reports on the analysis of the passenger flow during the "May 1st" holiday and "March 15" folk festival. The situation of full-blown tourists in Taishan scenic spot appears before and after sunrise in the morning. Problems to be solved: (1) Collect relevant data to analyze the passenger flow of Mount Tai Scenic Area; (2) Formulate a detailed diversion plan using mathematical modeling, and provide detailed measures to be thorough; (3) Solve downhill down The “head-on collision” problem of tourists; (4) Combining the diversion plan, formulate a detailed security plan, and use the data to explain the scientific nature of the proposed method. Red Gate on foot Dengtian Road, Tiandi Plaza by car Dengtian Road, Taohuayuan by car Dengtian Road, Tiandeng Peak on foot Deng Tian Road: Taohua Mountain hiking route (the most convenient); Red Gate Road hiking route (most classic); Tianwai Village car mountaineering route (the most troublesome); day candle peak climbing line (the most primitive natural); Taishan East Road (Hongmen Road) summit route; Taishan West Road (Tiandi Square) is the top route and is available for route selection: Temple → Red Gate → Zhongtian Gate → 18th Disk → Nantianmen → Jade Emperor Roof; Tiandi Square → Zhongtian Gate → Nantianmen; Picking Flowers → Taohuayuan → Nantianmen; Tianzhufeng→Yuhuangding; Mingtang Park→Tianlong Reservoir→Patio Bay→Sales Shelf→Yuhuangding. 2. Problem Analysis and Explanation For the first problem, we can contrast the examples, according to the Taishan Scenic Area tourist 2018 4th International Conference on Education, Management and Information Technology (ICEMIT 2018) Copyright © (2018) Francis Academic Press, UK 1302 visits over the years, as well as Taishan tickets sold, analysis and compariso. For the second problem, according to the specific data collected, establish a mathematical model, and then test and analyze the model, and predict the situation of the flow of people in the scenic spot, and formulate appropriate diversion strategies to avoid the “head-on collision” of tourists going down the mountain. The phenomenon. And develop a series of corresponding emergency measures. The question is raised: Assume that the Taishan scenery area is in good condition on the day and no natural disasters occur; assume that the tourists are traveling at the same rate; assume that the tourists are going down the mountain at the same speed; assume that the speed of the shuttle bus picking up the tourists is the same and the passenger capacity is the same. The relevant study symbol description is shown in the following table: Tab 1 Research Symbols t Stay time A Attractions collection N Number of visitors C Natural capacity B V Dm L Vj Ri Tourists collection Speed Instantaneous static capacity Pedestrian path length Vehicle speed Distance from vehicle to diverging attraction Cj Remaining passenger capacity D A reasonable distance between pedestrians W Pavement width Vi Average travel speed of visitors 3. Establishment of Model Indicators 3.1 Analysis of passenger flow in the area and its demand. Assume the space-time load rate of scenic spot j at s,then It looks like this: = /( / )= * / ( j ∈ A; >= 0; j = 1,2,...,n) Where A is a collection of attractions and, For the natural capacity of the site j; Average length of stay for travelers in scenic spots j, Number of visitors to attraction j at t. = when t, = 1,or= 0) ,B Set for tourists. 3.2 Vehicle Distributive Capacity Since the types of vehicles used for tourist diversion in scenic spots are generally fixed, the carrying capacity is generally uniform, and the driving speed of the vehicles to divert target spots can be set as the average value. The ability to divert traffic from a vehicle is actually determined by the remaining capacity and speed of the vehicle. Under the assumption that the initial state of the vehicle is stationary, the diversion capability of the vehicle j at time t, = ( / ) among them For the remaining passenger capacity of the vehicle j at t, vj is the speed of the vehicle, and rj is the distance from the vehicle to the diversion demand attraction.when A value of 0 indicates that the vehicle is at a desired point of interest. The mathematical model of vehicle speed and traffic density is established below: v=Vm*(1-k/Km),