scholarly journals A Tourism Route-Planning Approach Based on Comprehensive Attractiveness

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 39536-39547
Author(s):  
Yanmei Zhang ◽  
Linjie Jiao ◽  
Zhijie Yu ◽  
Zheng Lin ◽  
Mengjiao Gan
Keyword(s):  
Route Planning ◽  
Planning Approach

scholarly journals A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm

2021 ◽  
Vol 10 (8) ◽  
pp. 530
Author(s):  
Mohamed A. Damos ◽  
Jun Zhu ◽  
Weilian Li ◽  
Abubakr Hassan ◽  
Elhadi Khalifa
Keyword(s):  
Genetic Algorithm ◽  
Path Planning ◽  
Route Planning ◽  
Urban Tourism ◽  
Suggested Approach ◽  
Multiobjective Genetic Algorithm ◽  
Planning Approach ◽  
Conflicting Objectives ◽  
Gis Environment ◽  
Hierarchy Process

One of the most important variables that leads to effective individual and group tours is the tourism route planning approach, which enables tourists to engage with tourism with ease, speed, and safety. However, current methods of designing tourist routes have some glitches, such as relying only on external objectives to find the best route. In this paper, a novel urban tourism path planning method based on a multiobjective genetic algorithm is proposed. The main goal of this paper is to enhance the accuracy of the genetic algorithm (GA) by adopting new parameters and selecting the optimal tourism path by combining external and internal tourist site potentials. Moreover, the GA and analytical hierarchy process (AHP) were used in our proposed approach to evaluate urban tourism route planning under multiple conflicting objectives. To visualize and execute the proposed approach, the geographic information system (GIS) environment was used. Our suggested approach has been applied to develop the tourist road network of Chengdu City in China. Compared with existing tourism path planning approaches, our proposed approach is more accurate and straightforward than other approaches used to choose routes.

Real-time Unmanned Aerial Vehicle Cruise Route Optimization for Road Segment Surveillance using Decomposition Algorithm

Robotica ◽  
2020 ◽  
pp. 1-16
Author(s):  
Xiaofeng Liu ◽  
Jian Ma ◽  
Dashan Chen ◽  
Li-Ye Zhang
Keyword(s):  
Real Time ◽  
Unmanned Aerial Vehicle ◽  
Route Planning ◽  
Traffic Monitoring ◽  
Route Optimization ◽  
Road Segment ◽  
Solution Quality ◽  
Planning Approach ◽  
Aerial Vehicle ◽  
Road Segments

SUMMARY Unmanned aerial vehicle (UAV) was introduced for nondeterministic traffic monitoring, and a real-time UAV cruise route planning approach was proposed for road segment surveillance. First, critical road segments are defined so as to identify the visiting and unvisited road segments. Then, a UAV cruise route optimization model is established. Next, a decomposition-based multi-objective evolutionary algorithm (DMEA) is proposed. Furthermore, a case study with two scenarios and algorithm sensitivity analysis are conducted. The analysis result shows that DMEA outperforms other two commonly used algorithms in terms of calculation time and solution quality. Finally, conclusions and recommendations on UAV-based traffic monitoring are presented.

Fast route-planning approach to aircraft

1998 ◽  
Author(s):  
Min Yi ◽  
Mingyue Ding ◽  
Chengping Zhou
Keyword(s):  
Route Planning ◽  
Fast Route ◽  
Planning Approach

Fast 3D route-planning approach for air vehicle

1997 ◽  
Author(s):  
Jilin Tu ◽  
Mingyue Ding ◽  
Chengping Zhou ◽  
Haojun Ai
Keyword(s):  
Route Planning ◽  
Planning Approach ◽  
Air Vehicle
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