Safe Route Determination for First Responders in the Presence of Moving Obstacles

被引:28
作者
Wang, Zhiyong [1 ]
Zlatanova, Sisi [2 ]
机构
[1] Heidelberg Univ, Inst Geog, GISci Res Grp, D-69120 Heidelberg, Germany
[2] Univ New South Wales, Fac Built Environm, GRID, Sydney, NSW 2052, Australia
关键词
Roads; Hazards; Routing; Heuristic algorithms; Data models; Navigation; Geometry; Safe routing; algorithm; moving obstacles;
D O I
10.1109/TITS.2019.2900858
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Determining safe and fast routes for first responders is an important issue in a disaster response. Especially when different types of disasters (e.g., toxic plumes, fires, and floods) occur and affect transportation networks simultaneously, special routing strategies (e.g., detour) would be needed to ensure the safety for responders. On the other hand, after disasters happen, a quick response time is required, and the responders should move as fast as possible and even go through certain obstacles to reach the disaster sites to deliver emergency services. In this paper, we study path planning through moving obstacles, taking into account the influence of obstacles on the status of road networks and the speed of rescue vehicles. A set of algorithms is proposed to deal with not only geometries but also the properties of moving obstacles to support route generation. Based on the Dijkstra algorithm, a new routing algorithm is designed and developed, which aims at minimizing the risk while constraining the travel time of routes. We validate our approach with a set of experiments on some navigation cases. The experimental results show the promise of the algorithm in the generation of feasible and safe routes for first responders to pass through moving obstacles.
引用
收藏
页码:1044 / 1053
页数:10
相关论文
共 34 条
[1]  
[Anonymous], [No title captured]
[2]  
[Anonymous], [No title captured]
[3]  
[Anonymous], [No title captured]
[4]  
[Anonymous], [No title captured]
[5]  
[Anonymous], 2009, THESIS
[6]   Forest fire propagation prediction based on overlapping DDDAS forecasts [J].
Artes, Tomas ;
Cardil, Adrian ;
Cortes, Ana ;
Margalef, Tomas ;
Molina, Domingo ;
Pelegrin, Lucas ;
Ramirez, Joaquin .
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE, 2015, 51 :1623-1632
[7]  
Benssam A, 2014, INT CONF INFORM COMM, P17
[8]   Emergency response applications - Dynamic plume modeling and real-time routing [J].
Chitumalla, Pavan Kumar ;
Harris, Douglas ;
Thuraisingham, Bhavani ;
Khan, Latifur .
IEEE INTERNET COMPUTING, 2008, 12 (01) :38-44
[9]   A data model for operational and situational information in emergency response [J].
Dilo, Arta ;
Zlatanova, Sisi .
APPLIED GEOMATICS, 2011, 3 (04) :207-218
[10]   Semiautomated Transition State Localization for Organometallic Complexes with Semiempirical Quantum Chemical Methods [J].
Dohm, Sebastian ;
Bursch, Markus ;
Hansen, Andreas ;
Grimme, Stefan .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2020, 16 (03) :2002-2012