Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities

Abstract Smart cities provide new applications based on Internet of Things (IoT) technology. Moreover, Software Defined Networks (SDNs) offer the possibility of controlling the network based on applications requirements. One of the main problems that arise when an emergency happens is minimizing the delay time in emergency resource forwarding so as to reduce both human and material damages. In this paper, a new control system based on the integration of SDN and IoT in smart city environments is proposed. This control system actuates when an emergency happens and modifies dynamically the routes of normal and emergency urban traffic in order to reduce the time that the emergency resources need to get to the emergency area. The architecture is based on a set of IoT networks composed by traffic lights, traffic cameras and an algorithm. The algorithm controls the request of resources and the modification of routes in order to ease the movement of emergency service units. Afterwards, the proposal is tested by emulating a Smart City as a SDN-utilizing Mininet. The experiments show that the delay of the emergency traffic improves in a 33% when the algorithm is running. Moreover, the energy consumed by the IoT nodes is modeled and the obtained results display that it increases linearly with the number of nodes, therefore, the proposal is scalable.

[1]  Jun-ichi Imura,et al.  Smart Driving of a Vehicle Using Model Predictive Control for Improving Traffic Flow , 2014, IEEE Transactions on Intelligent Transportation Systems.

[2]  Markos Papageorgiou,et al.  Overview and analysis of Vehicle Automation and Communication Systems from a motorway traffic management perspective , 2015 .

[3]  Luca Calderoni,et al.  Deploying a network of smart cameras for traffic monitoring on a "city kernel" , 2014, Expert Syst. Appl..

[4]  Waleed Noori Hussein,et al.  PMIPv6 Assistive Cross-Layer Design to reduce handover latency in VANET Mobility for Next Generation Wireless Networks , 2015, Netw. Protoc. Algorithms.

[5]  Mohsen Guizani,et al.  Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges , 2016, IEEE Wireless Communications.

[6]  Jorge Casillas,et al.  Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model , 2014 .

[7]  Peter Nijkamp,et al.  Urban traffic incident management in a digital society. An actor-network approach in information technology use in urban Europe , 2014 .

[8]  Lucia Lo Bello,et al.  A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers , 2015, Expert Syst. Appl..

[9]  Gerhard P. Hancke,et al.  A Survey on Urban Traffic Management System Using Wireless Sensor Networks , 2016, Sensors.

[10]  Javier Gozálvez,et al.  Traffic congestion detection in large-scale scenarios using vehicle-to-vehicle communications , 2013, J. Netw. Comput. Appl..

[11]  Chin-Teng Lin,et al.  Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment , 2018, IEEE Access.

[12]  Hongliang Guo,et al.  A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion , 2017, IEEE Transactions on Intelligent Transportation Systems.

[13]  Daniel Alvear,et al.  Future Challenges in Evacuation Modelling , 2016 .

[14]  Miguel Garcia,et al.  Power Saving and Energy Optimization Techniques for Wireless Sensor Neworks (Invited Paper) , 2011, J. Commun..

[15]  H. Christopher Frey,et al.  Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies , 2015 .

[16]  Jorge J. Gómez-Sanz,et al.  A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants , 2013, IEEE Communications Magazine.

[17]  Igor Radusinovic,et al.  SDN Based Mobile Networks: Concepts and Benefits , 2014, Wireless Personal Communications.

[18]  Kamalrulnizam Abu Bakar,et al.  Intelligent beaconless geographical forwarding for urban vehicular environments , 2012, Wireless Networks.