Skip to main content
Skip main navigation
No Access

Real-time tools for situational awareness and emergency management in transport infrastructures

Published Online:pp 222-237https://doi.org/10.1504/IJMNDI.2014.067191

Critical transport infrastructures such as interchanges, long tunnels and bridges represent the most vulnerable environments within a transportation network; they are characterised by limited access/egress points and high volumes of users in close confines. A number of factors must be addressed to ensure maximum safety of both travellers and emergency service personnel; these include emergency preparedness, timely support for the decision-making process, and planning of optimal interventions in emergency management situations. This paper discusses the integration of wireless sensor networks (WSNs) and virtual reality (VR) to support the self-evacuation of travellers and operational procedures of rescue personnel within these environments, focusing on two key aspects of emergency operations: 1) collecting real-time data; 2) improving the timeliness of first responders through efficient provision of the collected data. Testimonials, technical results and recommendations collated from two pilot installations realised within the EU-funded SAVE ME project demonstrate the qualitative and quantitative impact of such an approach on emergency situation management.

Keywords

wireless sensor networks, WSNs, indoor localisation, virtual reality, roadside applications, evacuation process simulation

References

  • 1. Albertengo, G. , Zagari, D. , Coconea, L. (2013). ‘RED-WINE: an advanced wireless sensor network for real time road infrastructure monitoring’. 17th International Road Federation World Meeting, Riyadh, Saudi Arabia Google Scholar
  • 2. Brennan, D.R. , Evans, G.D. , Blythe, P.T. , Sherlock, B. (2012). ‘Localisation and evacuation of travellers in emergency situations: the SAVE ME project’. 19th ITS World Congress, 22–26 October, Vienna, Austria Google Scholar
  • 3. Cotton, S.L. , Cully, W. , Scanlon, W.G. , McQuiston, J. (2011). ‘Channel characterization for indoor wearable active RFID at 868 MHz’. Proceedings of Loughborough Antennas & Propagation Conference. November, Loughborough, UK, 1-4 Google Scholar
  • 4. Dorasamy, M. , Murali, R. (2011). ‘Information systems to support disaster planning and response: problem diagnosis and research gap analysis’. Proceedings of the 8th International ISCRAM Conference. May, Lisbon, Portugal Google Scholar
  • 5. Ladd, A.M. , Bekris, K.E. , Rudys, A.P. , Wallach, D.S. , Kavraki, L.E. ‘On the feasibility of using wireless Ethernet for indoor localization’. IEEE Transactions on Robotics and Automation. 2004, 06, 20, 3, 555-559 Google Scholar
  • 6. Lee, K. , Lampe, L. (2011). ‘Indoor cell-level localization based on RSSI classification’. Canadian Conference on Electrical and Computer Engineering (CCECE), May, Niagara Falls, Ontario, Canada Google Scholar
  • 7. Liu, Y. , Chang, G. , Lai, X. , Liu, Y. (2007). ‘CAPEVACUATION: the corridor-based emergency traffic evacuation system for Washington DC’. 14th World Congress on Intelligent Transportation Systems, October, Beijing, China Google Scholar
  • 8. Luiijf, E. , Klaver, M. (2011). ‘Insufficient situational awareness about critical infrastructures by emergency management’. 1st IEEE International Workshop on Critical Infrastructure Protection, 3–4 November 2005, Darmstadt, Germany Google Scholar
  • 9. Moulin, B. , Larochelle, B. , Mohamed, Azah (2010). Crowdmags: Multi-Agent Geo-Simulation of Crowd and Control Forces Interactions, Modelling, Simulation and Identification. (accessed 01.08.2014), ISBN: 978-953-307-136-7, InTech [online] http://www.intechopen.com/books/modelling--simulation-and-identification/titlecrowdmags-multi-agent-geo-simulation-of-crowd-and-control-forces-interactions- Google Scholar
  • 10. Pascale, A. , Nicoli, M. , Deflorio, F. , Dalla Chiara, B. , Spagnolini, U. (2012). ‘Wireless sensor networks for traffic management and road safety’. in IET Intelligent Transport Systems. 6, 1, 67-77, ISSN 1751-956X Google Scholar
  • 11. Reichenbach, S. (2009). ‘Situational awareness: key to emergency response’. Fire Engineering Magazine. (accessed 01.08.2014), 162, 3, [online] http://www.fireengineering.com/articles/print/volume-162/issue-3/features/situational-awareness-key-to-emergency-response.html Google Scholar
  • 12. (2009). Deliverable D10.2 Project Presentation. (accessed 20 July 2013) SAVE ME project [online] http://www.SAVEME.eu/assets/files/deliverables/ SAVE_ME_D10.2-Project_Presentation.pdf Google Scholar
  • 13. (2012). Deliverable D8.1 Pilot Plans. (accessed 20 July 2013) SAVE ME project [online] http://www.SAVEME.eu/assets/files/deliverables/SAVE_ME_D8.1-Pilot_Plans.pdf Google Scholar
  • 14. Silva, A. , Liu, M. , Moghaddam, M. (2013). ‘WSN-SA: design foundations for situational awareness systems based on sensor networks’. Global Humanitarian Technology Conference (GHTC), 2013 IEEE, 20–23 October, San Jose, CA Google Scholar
  • 15. Sudheer, M. , Tan, Yen Kheng (2010). Wireless Sensor Network for Disaster Monitoring. Wireless Sensor Networks: Application-Centric Design. (accessed 01.08.2014), ISBN: 978-953-307-321-7, InTech [online] http://www.intechopen.com/books/wireless-sensor-networks-application-centric-design/wireless-sensornetwork-for-disaster-monitoring Google Scholar
  • 16. Texas Instruments (2008). Low-Power SoC (System-on-Chip) with MCU, Memory, 2.4 GHz RF Transceiver, and USB (Rev. F)’. Google Scholar
  • 17. Toth, A. (2008). RUNES Results. (accessed 20 July 2013), [online] ftp://ftp.cordis.europa.eu/pub/fp7/ict/docs/necs/20080228-04-runes-results_en.pdf Google Scholar
  • 18. Wang, Z. , Zhao, X. , Qian, X. (2011). ‘The application and issue of linear wireless sensor networks’. IEEE International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM), 22–23 October, Guiyang, China Google Scholar
  • 19. Zhang, S. , Seyedi, A. (2011). ‘Analysis and design of energy harvesting wireless sensor networks with linear topology’. IEEE International Conference on Communications (ICC), 5–9 June, Kyoto, Japan Google Scholar
  • 20. Zimmerling, M. , Dargie, W. , Reason, J.M. (2007). ‘Energy efficient routing in linear wireless sensor networks’. IEEE International Conference on Mobile Adhoc and Sensor Systems, 8–11 October, Pisa, Italy Google Scholar
  • 21. Zimmerling, M. , Dargie, W. , Reason, J.M. (2008). ‘Localized power-aware routing in linear wireless sensor networks’. CASEMANS ‘08 Proceedings of the 2nd ACM International Conference on Context-Awareness for Self-Managing Systems. New York, NY, USA Google Scholar