Affiliation:
1. Shaanxi Technical College of Finance and Economics, School of
Digital Business, China
Abstract
<div>During the entry and exit of attraction viewing, the rapid generation of travel
demand and converging traffic flows in a short period can easily pose safety
hazards to people due to its complex terrain. This study aims to propose a path
planning method that integrates a dynamic traffic model with the A* algorithm
for the planning of scenic routes. The study first combines the cellular
transport model (CTM) model with the Greenshield model as its dynamic traffic
model and then improves the A* algorithm with the Morphin search tree algorithm
(Morphin) as its scenic route planning. The results of the study show that the
improved A* algorithm reaches the expected error of 10<sup>−4</sup> after 21 ms
using Matlab tests, and simulation tests are conducted in regular and complex
sections of the scenic area. The results show that the improved A* algorithm has
a significant improvement over the A* algorithm in node selection, and its
performance indexes such as the number of inflection points and smoothness also
have a significant improvement effect, the improved A* algorithm has a
significant decrease in the search area, and the search efficiency of the A*
algorithm has also improved greatly.</div>
Subject
Management, Monitoring, Policy and Law,Engineering (miscellaneous),Aerospace Engineering,Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering