Software Defined Networking for Emergency Traffic Management in Smart Cities

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Standard

Software Defined Networking for Emergency Traffic Management in Smart Cities. / Nikbakht Bideh, Pegah; Paladi, Nicolae; Hell, Martin.

Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019. red. / Anis Laouiti; Amir Qayyum; Mohamad Naufal Mohamad Saad. Springer Nature Singapore, 2020. s. 59-70 (Advances in Intelligent Systems and Computing, AISC; Vol. 1144).

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Harvard

Nikbakht Bideh, P, Paladi, N & Hell, M 2020, Software Defined Networking for Emergency Traffic Management in Smart Cities. i A Laouiti, A Qayyum & MNM Saad (red), Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019. Advances in Intelligent Systems and Computing, AISC, vol. 1144, Springer Nature Singapore, s. 59-70, IWVSC'2019, 2019/11/13. https://doi.org/10.1007/978-981-15-3750-9_5

APA

Nikbakht Bideh, P., Paladi, N., & Hell, M. (2020). Software Defined Networking for Emergency Traffic Management in Smart Cities. I A. Laouiti, A. Qayyum, & M. N. M. Saad (Red.), Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019 (s. 59-70). (Advances in Intelligent Systems and Computing, AISC; Vol. 1144). Springer Nature Singapore. https://doi.org/10.1007/978-981-15-3750-9_5

CBE

Nikbakht Bideh P, Paladi N, Hell M. 2020. Software Defined Networking for Emergency Traffic Management in Smart Cities. Laouiti A, Qayyum A, Saad MNM, redaktörer. I Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019. Springer Nature Singapore. s. 59-70. (Advances in Intelligent Systems and Computing, AISC). https://doi.org/10.1007/978-981-15-3750-9_5

MLA

Nikbakht Bideh, Pegah, Nicolae Paladi, och Martin Hell "Software Defined Networking for Emergency Traffic Management in Smart Cities"., Laouiti, Anis Qayyum, Amir Saad, Mohamad Naufal Mohamad (redaktörer). Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019. Advances in Intelligent Systems and Computing, AISC. Springer Nature Singapore. 2020, 59-70. https://doi.org/10.1007/978-981-15-3750-9_5

Vancouver

Nikbakht Bideh P, Paladi N, Hell M. Software Defined Networking for Emergency Traffic Management in Smart Cities. I Laouiti A, Qayyum A, Saad MNM, redaktörer, Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019. Springer Nature Singapore. 2020. s. 59-70. (Advances in Intelligent Systems and Computing, AISC). https://doi.org/10.1007/978-981-15-3750-9_5

Author

Nikbakht Bideh, Pegah ; Paladi, Nicolae ; Hell, Martin. / Software Defined Networking for Emergency Traffic Management in Smart Cities. Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019. redaktör / Anis Laouiti ; Amir Qayyum ; Mohamad Naufal Mohamad Saad. Springer Nature Singapore, 2020. s. 59-70 (Advances in Intelligent Systems and Computing, AISC).

RIS

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 -