Implementation of dynamic routing as a web service for emergency routing decision planning

The main objective of this study is to implement a system for Emergency Routing Decision Planning (ERDP) based on service oriented architecture. A Web-based application is developed to facilitate ubiquitous dynamic routing services on up-to-date road network data. The system pays special attention to enhancing the ERDP system in order to facilitate timely and smooth data transfer between client and the server. The ERDP is built based on an integration of the pgRouting Dijkstra's algorithm and Analytic Hierarchy Process (AHP). The system allows the clients to query the shortest path and travel time on the road network that is kept updated using data inputs from mobile client devices. Combined with AHP, this affords the calculation of minimum travel-time to the destination while considering many dynamic factors such as road condition and situations at destination. Static and dynamic road network data are maintained as separate tables in the ERDP system for anticipated improvements in processing speed. The routing algorithm is deployed as Web Processing Service (WPS) is using the ZOO kernel. Another highlight of the work is a jQuery-based mobile application which is used to update the ERDP database from field sites. This study demonstrates two scenarios for application of the ERDP Web services. In the first scenario of medical emergency, the ERDP calculates the route with minimum travel time and proximity of hospital to treat the patient. In the second case of routing service for rescue and evacuation, the ERDP provides dynamic route based on updates received from disaster forecast models. The system is developed entirely based on Open Source Software and its open architecture makes to easily amenable to customization and integration in a variety of application scenarios