Proceedings Article•
SUMO - Simulation of Urban MObility An Overview
23 Oct 2011-pp 55-60
TL;DR: The current state of the SUMO package, an open source traffic simulation package including net import and demand modeling components, is described as well as future developments and extensions.
Abstract: SUMO is an open source traffic simulation package including net import and demand modeling components. We describe the current state of the package as well as future developments and extensions. SUMO helps to investigate several research topics e.g. route choice and traffic light algorithm or simulating vehicular communication. Therefore the framework is used in different projects to simulate automatic driving or traffic management strategies.
Citations
More filters
31 Dec 2012
TL;DR: The current state of the SUMO package, its major applications, both by research topic and by example, as well as future developments and extensions are described.
Abstract: SUMO is an open source traffic simulation package including the simulation application itself as well as supporting tools, mainly for network import and demand modeling. SUMO helps to investigate a large variety of research topics, mainly in the context of traffic management and vehicular communications. We describe the current state of the package, its major applications, both by research topic and by example, as well as future developments and extensions. Keywords-microscopic traffic simulation; traffic management; open source; software
1,863 citations
Cites background from "SUMO - Simulation of Urban MObility..."
...SUMO (“Simulation of Urban MObility”) [1][2] is a microscopic, inter- and multi-modal, space-continuous and time-discrete traffic flow simulation platform....
[...]
...Keywords-microscopic traffic simulation; traffic management; open source; software I. INTRODUCTION SUMO (“Simulation of Urban MObility”) [1][2] is a microscopic, inter- and multi-modal, space-continuous and time-discrete traffic flow simulation platform....
[...]
TL;DR: In this paper, the authors provide a comprehensive survey of all of these developments promoting smooth integration of UAVs into cellular networks, including the types of consumer UAV currently available off-the-shelf, the interference issues and potential solutions addressed by standardization bodies for serving aerial users with the existing terrestrial BSs, challenges and opportunities for assisting cellular communications with UAV-based flying relays and BSs.
Abstract: The rapid growth of consumer unmanned aerial vehicles (UAVs) is creating promising new business opportunities for cellular operators On the one hand, UAVs can be connected to cellular networks as new types of user equipment, therefore generating significant revenues for the operators that can guarantee their stringent service requirements On the other hand, UAVs offer the unprecedented opportunity to realize UAV-mounted flying base stations (BSs) that can dynamically reposition themselves to boost coverage, spectral efficiency, and user quality of experience Indeed, the standardization bodies are currently exploring possibilities for serving commercial UAVs with cellular networks Industries are beginning to trial early prototypes of flying BSs or user equipments, while academia is in full swing researching mathematical and algorithmic solutions to address interesting new problems arising from flying nodes in cellular networks In this paper, we provide a comprehensive survey of all of these developments promoting smooth integration of UAVs into cellular networks Specifically, we survey: 1) the types of consumer UAVs currently available off-the-shelf; 2) the interference issues and potential solutions addressed by standardization bodies for serving aerial users with the existing terrestrial BSs; 3) the challenges and opportunities for assisting cellular communications with UAV-based flying relays and BSs; 4) the ongoing prototyping and test bed activities; 5) the new regulations being developed to manage the commercial use of UAVs; and 6) the cyber-physical security of UAV-assisted cellular communications
667 citations
TL;DR: The fundamental issues in a platoon-based VCPS are discussed, including vehicle platooning/clustering, cooperative adaptive cruise control, platoon- based vehicular communications, etc., all of which are characterized by the tightly coupled relationship between traffic dynamics and VANET behaviors.
Abstract: Vehicles on the road with some common interests can cooperatively form a platoon-based driving pattern, in which a vehicle follows another vehicle and maintains a small and nearly constant distance to the preceding vehicle. It has been proved that, compared with driving individually, such a platoon-based driving pattern can significantly improve road capacity and energy efficiency. Moreover, with the emerging vehicular ad hoc network (VANET), the performance of a platoon in terms of road capacity, safety, energy efficiency, etc., can be further improved. On the other hand, the physical dynamics of vehicles inside the platoon can also affect the performance of a VANET. Such a complex system can be considered a platoon-based vehicular cyber-physical system (VCPS), which has attracted significant attention recently. In this paper, we present a comprehensive survey on a platoon-based VCPS. We first review the related work of a platoon-based VCPS. We then introduce two elementary techniques involved in a platoon-based VCPS, i.e., the vehicular networking architecture and standards, and traffic dynamics, respectively. We further discuss the fundamental issues in a platoon-based VCPS, including vehicle platooning/clustering, cooperative adaptive cruise control, platoon-based vehicular communications, etc., all of which are characterized by the tightly coupled relationship between traffic dynamics and VANET behaviors. Since system verification is critical to VCPS development, we also give an overview of VCPS simulation tools. Finally, we share our view on some open issues that may lead to new research directions.
539 citations
Cites background from "SUMO - Simulation of Urban MObility..."
...Some typical traffic mobility simulators include VISSIM [134], VanetMobiSim [135] and SUMO [136]....
[...]
16 Aug 2013
TL;DR: This work presents Mobile Fog, a high level programming model for the future Internet applications that are geospatially distributed, large-scale, and latency-sensitive, and analyzes use cases for the programming model with camera network and connected vehicle applications to show the efficacy of Mobile Fog.
Abstract: The ubiquitous deployment of mobile and sensor devices is creating a new environment, namely the Internet of Things(IoT), that enables a wide range of future Internet applications. In this work, we present Mobile Fog, a high level programming model for the future Internet applications that are geospatially distributed, large-scale, and latency-sensitive. We analyze use cases for the programming model with camera network and connected vehicle applications to show the efficacy of Mobile Fog. We also evaluate application performance through simulation.
521 citations
TL;DR: This survey article starts with the necessary background of VANETs, followed by a brief treatment of main security services, and focuses on an in-depth review of anonymous authentication schemes implemented by five pseudonymity mechanisms.
Abstract: Vehicular ad hoc networks (VANETs) are becoming the most promising research topic in intelligent transportation systems, because they provide information to deliver comfort and safety to both drivers and passengers. However, unique characteristics of VANETs make security, privacy, and trust management challenging issues in VANETs’ design. This survey article starts with the necessary background of VANETs, followed by a brief treatment of main security services, which have been well studied in other fields. We then focus on an in-depth review of anonymous authentication schemes implemented by five pseudonymity mechanisms. Because of the predictable dynamics of vehicles, anonymity is necessary but not sufficient to thwart tracking an attack that aims at the drivers’ location profiles. Thus, several location privacy protection mechanisms based on pseudonymity are elaborated to further protect the vehicles’ privacy and guarantee the quality of location-based services simultaneously. We also give a comprehensive analysis on various trust management models in VANETs. Finally, considering that current and near-future applications in VANETs are evaluated by simulation, we give a much-needed update on the latest mobility and network simulators as well as the integrated simulation platforms. In sum, this paper is carefully positioned to avoid overlap with existing surveys by filling the gaps and reporting the latest advances in VANETs while keeping it self-explained.
413 citations
Cites background or methods from "SUMO - Simulation of Urban MObility..."
...[110] Moreover, SUMO is capable of high-performance simulations for huge networks and is able to process feedback from network simulator....
[...]
...SUMO [110] employs an extension of car-following model proposed by Stefan Krauβ [111]....
[...]
...iTETRIS integrates SUMO [110] and NS-3 [113] to provide a real-time closed-loop coupling simulation platform, which can...
[...]
...developed for VANETs and consists of two open-source simulators: SUMO [110] and NS-2 [112]....
[...]
References
More filters
01 Jan 1998
TL;DR: A microsopic model of traffic flow is proposed, adding to the understanding of the different types of congestion found in traffic flow, to find out how to optimize traffic with respect to a reduction of environmental impacts and economical loss due to congestion.
Abstract: The continuous growth of road traffic volumes leads to significant environmental and economical problems. For more than four decades efforts have been done to understand the dynamics of traffic flow in order to find out how to optimize traffic with respect to a reduction of environmental impacts and economical loss due to congestion. A microsopic model of traffic flow is proposed, adding to the understanding of the different types of congestion found in traffic flow.
544 citations
"SUMO - Simulation of Urban MObility..." refers methods in this paper
...SUMO uses an extension of the car-following model developed by Stefan Krauß [1]....
[...]
TL;DR: The TraNS architecture and ongoing development efforts are described, which include developing TraNS, an open-source simulation environment, as a step towards bridging the gap between road traffic and communication network simulators.
Abstract: Realistic simulation is a necessary tool for the proper evaluation of newly developed protocols for Vehicular Ad Hoc Networks (VANETs). Several recent efforts focus on achieving this goal. Yet, to this date, none of the proposed solutions fulfil all the requirements of the VANET environment. This is so mainly because road traffic and communication network simulators evolve in disjoint research communities. We are developing TraNS, an open-source simulation environment, as a step towards bridging this gap. This short paper describes the TraNS architecture and our ongoing development efforts.
335 citations
"SUMO - Simulation of Urban MObility..." refers background in this paper
...TraNS [15] was a very popular middleware for V2X simulation which realizes these needs....
[...]
TL;DR: SUMO is a microscopic road traffic simulation made available as open source under the GPL license, which offers a socket-based interface to external applications, allowing to interact with a running simulation online.
Abstract: SUMO is a microscopic road traffic simulation made available as open source under the GPL license. The complete suite includes tools for importing road networks, generating routes from different sources, and two versions of the traffic simulation itself, one started from the command line and one including a graphical user interface. The simulation uses the microscopic, space-continuous and time-discrete car-following model developed by S. Kraus and a lane-changing model developed within the work on the simulation. Traffic assignment is normally performed using the iterative approach formulated by C. Gawron, but further methods, such as a one-shot assignment method, exists. The traffic simulation offers a socket-based interface to external applications, allowing to interact with a running simulation online. Values and states of objects the simulation consists of can be both retrieved and changed. SUMO has been used within different projects both by the DLR and by external organizations. The software and documentation can be accessed at http://sumo.sf.net.
221 citations
"SUMO - Simulation of Urban MObility..." refers background in this paper
...SUMO allows to address these topics, see, i.e., [9]....
[...]
09 Jun 2005
TL;DR: An “agentbased” traffic lights logic algorithm was used, which uses the length of a jam in front of a traffic light as input, and how it was embedded within the simulation is described.
Abstract: Within the project “OIS” (optical information systems) new traffic control mechanisms had to be invented and tested. One of the most important topics was to optimize the flow over a junction using information from the OIS sensors which can not be measured using normal sensors such as induct loops. For this purpose, an “agentbased” traffic lights logic algorithm was used, which uses the length of a jam in front of a traffic light as input. As we had no possibility to test the traffic lights control within the reality, the improvement of the flow throughput of such junctions was shown using the open source traffic Simulation “SUMO” (Simulation of Urban MObility) [1, 2].
This publication describes the algorithm itself and how it was embedded within the simulation. Furthermore, the simulation results are given.
78 citations
"SUMO - Simulation of Urban MObility..." refers background in this paper
...Still, SUMO’s fast execution time and its open TraCI API for interaction with external applications make it a good candidate for evaluating new traffic control algorithms, both for controlling a single intersection ([22]) and for net-wide investigations....
[...]
01 Dec 2010
TL;DR: The conducted investigation shows that the proposed infrastructure-assisted routing approach achieves its objectives, and reduces the routing overhead compared to other greedy position-based geo-routing protocols.
Abstract: Cooperative vehicular systems require the design of reliable and efficient multi-hop networking protocols to achieve their foreseen benefits. Although many geo-routing protocols have been proposed in the literature, few contributions have analysed the benefits that road side infrastructure units could provide to successfully route data from source to destination. In this context, this paper proposes a novel infrastructure-assisted routing approach designed to improve the end-to-end performance, range and operation of multi-hop vehicular communications by exploiting the reliable interconnection of infrastructure units. The conducted investigation shows that the proposed infrastructure-assisted routing approach achieves its objectives, and reduces the routing overhead compared to other greedy position-based geo-routing protocols. Finally, the paper shows that to obtain the maximum benefits from the proposed infrastructure-assisted routing approach, optimal infrastructure deployment strategies must be further investigated.
74 citations
"SUMO - Simulation of Urban MObility..." refers background in this paper
...Also, evaluating concepts for forwarding messages to their defined destination (“message routing”) can be done using SUMO, see for example [17] or [18]....
[...]