Resident travel path planning based on risk assessment of epidemic-related areas

2021 ◽  
Author(s):  
Zhijian Wang ◽  
Jianpeng Yang ◽  
Shunzhong Long ◽  
Jian Guo
Keyword(s):  
Risk Assessment ◽  
Path Planning ◽  
Travel Path

Research on Travel Path Planning Based on Group Related Mapping

2014 ◽  
Vol 644-650 ◽  
pp. 5836-5839
Author(s):  
Li Na Tan
Keyword(s):  
Path Planning ◽  
Mapping Method ◽  
Planning Method ◽  
Planning Problem ◽  
Travel Path ◽  
Path Planning Problem

This paper analyzed travel path planning problem. Firstly, it reviewed some references about path planning method and found that those methods were not suit for travel path planning. Secondly, it proposed group related mapping method to solve travel path planning problem. This method had two steps, arranging trips when conflicts were overlooked and rearranging the trips when conflicts were eliminated. Thirdly, to explain the arrangement clearly, it took schedule of ten days travel along the Big Long River as an example. The result showed that the arrangement of all the accessible trips could be worked out during the whole rafting season.

scholarly journals Risk-Based Path Planning Optimization Methods for UAVs Over Inhabited Areas

2015 ◽  
Author(s):  
Eliot Rudnick-Cohen ◽  
Jeffrey W. Herrmann ◽  
Shapour Azarm
Keyword(s):  
Risk Assessment ◽  
Path Planning ◽  
Network Optimization ◽  
Computation Time ◽  
Optimization Methods ◽  
Flight Path ◽  
Low Risk ◽  
Optimization Approach ◽  
Local Approach ◽  
Solution Quality

Operating unmanned aerial vehicles (UAVs) over inhabited areas requires mitigating the risk to persons on the ground. Because the risk depends upon the flight path, UAV operators need approaches (techniques) that can find low-risk flight paths between the mission’s start and finish points. In some areas, the flight paths with the lowest risk are excessively long and indirect because the least-populated areas are too remote. Thus, UAV operators are concerned about the tradeoff between risk and flight time. Although there exist approaches for assessing the risks associated with UAV operations, existing risk-based path planning approaches have considered other risk measures (besides the risk to persons on the ground) or simplified the risk assessment calculation. This paper presents a risk assessment technique and bi-objective optimization methods to find low-risk and time (flight path) solutions and computational experiments to evaluate the relative performance of the methods (their computation time and solution quality). The methods were a network optimization approach that constructed a graph for the problem and used that to generate initial solutions that were then improved by a local approach and a greedy approach and a fourth method that did not use the network solutions. The approaches that improved the solutions generated by the network optimization step performed better than the optimization approach that did not use the network solutions.

scholarly journals Risk Assessment Model for UAV Cost-Effective Path Planning in Urban Environments

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 150162-150173 ◽  
Author(s):  
Xinting Hu ◽  
Bizhao Pang ◽  
Fuqing Dai ◽  
Kin Huat Low
Keyword(s):  
Risk Assessment ◽  
Path Planning ◽  
Cost Effective ◽  
Urban Environments ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Effective Path

An Environmental Travel Path Planning Method of Light Vehicle Based on Real-Time Road Condition

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Dong Guo ◽  
Yujiao Hao ◽  
Minghui Li ◽  
Wei Yan ◽  
Wenjuan E ◽  
...  
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Planning Method ◽  
Travel Path ◽  
Road Condition ◽  
Light Vehicle

What visual information is used for navigation around obstacles in a cluttered environment?

2004 ◽  
Vol 82 (8-9) ◽  
pp. 682-692 ◽  
Author(s):  
Aftab E Patla ◽  
Sebastian S Tomescu ◽  
Milad G.A Ishac
Keyword(s):  
Path Planning ◽  
Visual Information ◽  
Model Performance ◽  
The Body ◽  
Path Model ◽  
Route Selection ◽  
Reactive Control ◽  
Verbal Command ◽  
Travel Path ◽  
Eyes Closed

The goal of this study was to determine what visual information is used to navigate around barriers in a cluttered terrain. Twelve traffic pylons were arranged randomly in a 4.55 × 3.15 m travel area: there were 20 different arrangements. For each arrangement, individuals (N = 6) were positioned in 1 of 3 locations on the outside border with their eyes closed: on verbal command they were instructed to open their eyes and quickly go to 1 of 2 specified goals (2 vertical posts defining a door) located on one edge of the travel area. The movement of the body was tracked using the OPTOTRAK system, with the IREDS placed on a collar worn by the subjects. Experimental data of travel path chosen were compared with those predicted by models that incorporated different types of visual information to control path trajectory. The 6 models basically use 2 different strategies for route selection: reactive control based on visual input about the obstacle encountered in the line-of-sight travel path (Model # 1) and path planning based on different visual information (Model # 2, 3, 4, 5, and 6). The models that involve path planning are grouped into 2 categories: models 2, 3, 4, and 5 need detailed geometrical configuration of the obstacles to plan a route while model 6 plans a route based on identifying and avoiding a cluster of obstacles in the travel path. Two measures were used to compare model performance with the actual travel path: the difference in area between predicted and actual travel path and the number of trials that accurately predicted the number of turns during travel. The results suggest that route selection is not based on reactive control, but does involve path planning. The model that best predicts the travel paths taken by the individuals uses visual information about cluster of obstacles and identification of safe corridors to plan a route.Key words: navigation, obstacle avoidance, vision, path planning.

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