Software Defined Networking for Emergency Traffic Management in Smart Cities

TY - GEN

T1 - Software Defined Networking for Emergency Traffic Management in Smart Cities

AU - Nikbakht Bideh, Pegah

AU - Paladi, Nicolae

AU - Hell, Martin

PY - 2020/4/8

Y1 - 2020/4/8

N2 - Vehicle traffic management is becoming more complex due to increased traffic density in cities. Novel solutions are necessary for emergency vehicles, which despite growing congestion must be able to quickly reach their destination. Emergency vehicles are usually equipped with transmitters to control the traffic lights on their path and warn other vehicles with sirens. Transmitters are operated manually and, like sirens, have a limited range. Smart cities can make use of novel network models to facilitate traffic management. In this paper, we design a traffic management application leveraging Software Defined Network controllers for traffic preemption. The proposed application leverages the logical centralization of the SDN control plane to improve traffic management. Results from evaluating the application under five different scenarios indicate that emergency vehicles can reach their destination much faster, with very little effect on the surrounding traffic.

AB - Vehicle traffic management is becoming more complex due to increased traffic density in cities. Novel solutions are necessary for emergency vehicles, which despite growing congestion must be able to quickly reach their destination. Emergency vehicles are usually equipped with transmitters to control the traffic lights on their path and warn other vehicles with sirens. Transmitters are operated manually and, like sirens, have a limited range. Smart cities can make use of novel network models to facilitate traffic management. In this paper, we design a traffic management application leveraging Software Defined Network controllers for traffic preemption. The proposed application leverages the logical centralization of the SDN control plane to improve traffic management. Results from evaluating the application under five different scenarios indicate that emergency vehicles can reach their destination much faster, with very little effect on the surrounding traffic.

U2 - 10.1007/978-981-15-3750-9_5

DO - 10.1007/978-981-15-3750-9_5

M3 - Paper in conference proceeding

SN - 978-981-15-3749-3

T3 - Advances in Intelligent Systems and Computing, AISC

SP - 59

EP - 70

BT - Vehicular Ad-hoc Networks for Smart Cities

A2 - Laouiti, Anis

A2 - Qayyum, Amir

A2 - Saad, Mohamad Naufal Mohamad

PB - Springer Nature Singapore

T2 - IWVSC'2019

Y2 - 13 November 2019 through 13 November 2019

ER -