How to Simulate Traffic with SUMO

Santana, Samuel Romero; Medina, Javier; Rubio-Royo, Enrique

doi:10.1007/978-3-319-27340-2_95

Cited by 11 publications

(8 citation statements)

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“…SUMO is not a traffic simulation but rather, it is considered as applications which prepare and perform the simulation of traffic. As the traffic simulation SUMO needs a representation of traffic state and road networks to simulate in a data format, these 2 requirements have to be generated or imported using different sources …”

Section: Simulation Resultsmentioning

confidence: 99%

“…22 The positions of nodes are then made by the simulator SUMO. 23 Simulation of Urban Mobility is a free traffic simulator, most commonly used in recent research on vehicular networks. It is a highly portable simulator which is able to provide accurate mobility patterns.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…As the traffic simulation SUMO needs a representation of traffic state and road networks to simulate in a data format, these 2 requirements have to be generated or imported using different sources. 23 Each vehicle transmits packets using IEEE 802.11 with a transmission range 6 Mbps. The environment of the simulation has 1 traffic direction with 2 lanes of 4000 m. Vehicles move with a speed ranging from 90 to 130 km/h.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The positions of nodes are then made by the simulator SUMO . Simulation of Urban Mobility is a free traffic simulator, most commonly used in recent research on vehicular networks.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks

Marzak

Moumni

Benlahmar

et al. 2018

Int J Communication

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Summary Vehicular ad‐hoc networks have several roles in alert messages dissemination between vehicles in danger, the most important role is to provide helpful information for drivers (eg, road traffic state). But, some performance improvements are frequently needed in terms of routing. Hence, several clustering approaches have been proposed to optimize the network services. These approaches are based on increasing data delivery, reducing data congestion, and dividing the traffic into clusters. However, a stable clustering algorithm is always required in order to ensure the data dissemination in a dense, mobile, or a large‐scale environment. Therefore, in this paper, we have proposed a stable routing protocol based on the fuzzy logic system, which can deliver alert messages with minimum delay and improve the stability of clusters structure by generating only a small number of clusters in the network. In this work, the fuzzy logic system has been used to create the clusters and select a cluster head for each cluster. We have used the network simulator (NS2) to generate the results. As a result, we could reduce the cluster head changes and increase the cluster member lifetime compared with recent approaches.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

“…The positions of nodes are then made by the simulator SUMO . Simulation of Urban Mobility is a free traffic simulator, most commonly used in recent research on vehicular networks.…”

Section: Simulation Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks

Marzak

Moumni

Benlahmar

et al. 2018

Int J Communication

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“…SUMO (Simulation of Urban MObility) [25] is used in order to generate the mobility traces of the vehicles over three road networks, R1, R2, and R3:…”

Section: A Road Configuration and Simulation Parametersmentioning

confidence: 99%

Multipoint Relaying Versus Chain-Branch-Leaf Clustering Performance in Optimized Link State Routing-Based Vehicular Ad Hoc Networks

Rivoirard

Wahl

Sondi

2020

IEEE Trans. Intell. Transport. Syst.

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Routing protocols for vehicular ad hoc networks resort to clustering in order to optimize network performance. Concerning the Optimized Link State Routing (OLSR) protocol and the plethora of its derivatives, the multipoint relaying (MPR) technique has proven its efficiency as an accurate clustering scheme over the last two decades. However, it has been emphasized recently that the MPR technique, which was originally designed for open areas, does not benefit from the particular configuration of road sections which are intrinsically spatially constrained. A clustering scheme exploiting this particularity, namely Chain-Branch-Leaf (CBL), has been introduced in order to enhance the flooding of broadcast traffic, including that related to routing operations. In this paper, both MPR and CBL are evaluated through MATLAB simulation over several scenarios based on realistic road configurations and traffic generated with SUMO simulator. The results show that CBL actually reduces the number of nodes acting as relays (cluster-heads) in the network, thus decreasing the routing traffic related to creation and retransmission of topology control (TC) messages. Also, they show that, with CBL, the nodes chosen as relays remain longer in this role, thus favoring the overall network stability, and that most of the nodes remain attached longer to the same relay than with the MPR technique.

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SUMO Performance Comparative Analysis of SUMO’s Speed Using Different Programming Languages

Santana

Medina

Rodríguez

et al. 2018

Computer Aided Systems Theory – EUROCAST 2017

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How to Simulate Traffic with SUMO

Cited by 11 publications

References 0 publications

Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks

Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks

Multipoint Relaying Versus Chain-Branch-Leaf Clustering Performance in Optimized Link State Routing-Based Vehicular Ad Hoc Networks

SUMO Performance Comparative Analysis of SUMO’s Speed Using Different Programming Languages

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