Abstract
Multi-agent systems MASs have been widely used to interoperate hospital information systems (HISs). The use of MASs for HISs interoperability has become a central solution, especially in the field of emergency medicine. In emergencies, the notion of delay is relative, because responders only have a few minutes to react. This emergency response time has an important role in the event that an accident occurs on the road. Existing procedures for the emergency ambulance (EA) dispatch strategy are based on manual dispatch. In this work, we are introducing a distributed emergency ambulance (DEA) routing system to control emergency latency time, which includes driving route planning to guide emergency vehicles and the allocation of distributed emergency resources (emergency ambulances and hospitals) to reduce the EA response time caused by traffic or the wrong human decision to transport ambulance to the accident site. The allocation of resources (hospitals) is ensured through a recommendation system based on the interoperability of several interconnected HISs using a multi-agent system. The proposed solution takes into consideration dynamic traffic flow information during the day to build dynamic paths for EA. The improved method is based on a distributed architecture to calculate and find the optimal pathway for a set of emergency vehicles based on ACO ant colony optimization techniques. The results of the simulation show that the proposed method can decrease the total travel time of the ambulance to reach the accident position compared to conventional methods that use lights and sirens to warn other vehicles to free up the road for the ambulance or use a traditional approach based on the vision/reflection of the driver to choose in a random way the paths to take. Based on such a solution, ambulance staff will be able to save lives by optimizing the total journey with the minimum travel.
Highlights
Many areas suffer from the catastrophic state of their infrastructure
This work proposes a new architecture for intelligent routing of emergency ambulances by introducing dynamic trajectory planning associated with traffic density using a distributed architecture based on the Ant Colony System (ACS) algorithm combined with the road sensor controller
This central database (CDB) will be consulted by the HCA Agent to find the hospital nearest to the emergency ambulance
Summary
Many areas suffer from the catastrophic state of their infrastructure. The access to the accident site is considered a complex mission [1]. [2] In addition to this, the other problem is to find the closest hospital to the accident site that can accommodate the person in emergency. The main idea of this article is to find the fastest path by proposing a new distributed system based on the ACO algorithm (Ant Colony Optimization) [7], [8], [9] to get the shortest route according to a set of intelligent agents dedicated to helping the ambulance to arrive at the accident site and pick up the injured person at the nearest hospital. ACO algorithms have achieved satisfactory feedback both in terms of temporal complexity and search efficiency compared to heuristic methods [12] This algorithm is considered to be a distributed system in which ants work in parallel to provide positive feedback and has been applied to find a solution to problems related to transportation [13] and combinatorial optimization and communication networks [14], [15], [16]. We will present the simulation results as well as the corresponding conclusion
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Online and Biomedical Engineering (iJOE)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
