A Research On Scenic Tour Route Optimization Based On Passenger Flow Counseling

With the improvement of living standards and the implementation of statutory holidays, more and more people choose to travel to spend their leisure time, tourism needs following robust growing. However, the supply and demand imbalance between the formation of the expanding tourism demand and relatively stable tourism resources makes many famous scenic spots overcrowded during the holidays. Therefore, in the premise to meeting the needs of tourists visiting and maintaining a good experience, how to effectively ease the peak of passenger flow is one problem which the area managers faced. The development of "wisdom scenic " made scenic could achieved "wisdom" management, but the current "wisdom" is limited to the scenic internal staff, visitors can not actively participate in it, and efficient traffic grooming should be based on the participation of tourists, which makes the "wisdom of the scenic" function application not statistically significant in the area of the peak of traffic grooming.In this study, take scenic tour route as the research object, the use of graph theory to explore the scenic route optimization within the optimized route in existing things, including using the shortest network model optimized connection line between the two spots and using the shortest Hamiltonian path model connection all the attractions, to achieve on the basis of macro traffic diversion to meet the needs of tourists as possible, at the same time, to achieve guided tour visitors reaching the goal as soon as the target point and avoiding the same way, or the wrong way, detours and waste time intensified scenic congestion. According the optimized route, with the support of the Internet, RFID, wisdom, service centers and other related technologies to develop APP. In the passenger flow peak, visitors can take advantage of the cruise line to plan their itineraries related to APP in understanding the distribution of passenger traffic within the area, based on the combination of optimized, thus avoiding congestion autonomous region, which to some extent to promote peak scenic passenger grooming period.Finally, this article takes Gu Langyu as an example, based on the analysis passenger distribution and traffic management of Gu Langyu, according to the cruise line optimization principles obtained five core attractions, dining / shopping, the line combinations of Palais building three lines, and then use the network shortest model and shortest Hamiltonian model to optimizing the three ways connection, and based online optimization results making Gu Langyu divert passenger recommendations: establishing wisdom scenic tourist service center within the area of information technology to strengthen the rational development of interest, rational developing attractions to optimize the spatial distribution, developing related APP to promote tourists streaming autonomy based on the line optimization.