VGSim: An integrated networking and microscopic vehicular mobility simulation platform

Liu, Bojin; Khorashadi, B.; Du, Heng; Ghosal, Dipak; Chuah, Chen‐Nee; Zhang, M.

doi:10.1109/mcom.2009.4939289

Cited by 32 publications

(10 citation statements)

References 11 publications

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“…Such an interface satisfies the requirements needed to simulate ITS applications. However, only a few simulation platforms adopt this type of interface, such as the IntelliDrive Simulation Environment developed at the University of Virginia [25], VGSim [26], the Vehicles in Network Simulation (Veins) [27], and the Integrated Wireless and Traffic Simulation Platform for Real-time Road Traffic Management Solutions (iTETRIS) funded by the European Union [28]. Because ITS applications are only now being introduced in the industry and a long-term evolution simulation platform is preferred, the most-funded (€4.42 million) simulation platform, iTETRIS, was pursued in the interest of continued tool maintenance and support.…”

Section: Discussionmentioning

confidence: 99%

Predictive Vehicle Route Optimization in Intelligent Transportation Systems

Abdul-Hak¹,

Al-Holou²,

Bazzi³

et al. 2019

IJDST

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Through the adoption of dedicated short-range communication (DSRC) wireless communication technology, intelligent transportation systems (ITS) will spur a new revolution in the U.S. transportation system. This paper is structured around providing drivers with the least-congested transportation route choices enabled by the ITS-envisioned vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-vehicle (I2V) communication platforms. Recent research in vehicle navigation systems has proposed energy consumption and emission optimized routing methodologies using historical traffic data modeling. More than 50% of congestion in U.S. cities is nonrecurring congestion. Nonrecurring congestion reduces the availability of the traffic network, thus rendering historical traffic data-based systems insufficient in more than 50% of the cases. Real-time traffic data modeling provides an enhanced performance in traffic congestion assessment; however, greater performance is expected with a predictive traffic congestion model with increased certainty. This paper compares the conventional shortest path and fastest path vehicle routing methodologies and establish the improvement for environmentally friendly routing in a dynamic and predictive cost dependent traffic network based on Petri Net Modeling. The proposed routing algorithm is validated using a computer-based tool of choice.

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Section: Discussionmentioning

confidence: 99%

Predictive Vehicle Route Optimization in Intelligent Transportation Systems

Abdul-Hak¹,

Al-Holou²,

Bazzi³

et al. 2019

IJDST

View full text Add to dashboard Cite

show abstract

“…7, packet losses at rates up to 30% were generated from a Uniform distribution and the Peak Signal-to-Noise Ratio (PSNR) was calculated. PSNR is given by (11). are the reference and reconstructed pixels respectively, with I and j ranging over the rows and columns of the frame.…”

Section: Video Performancementioning

confidence: 99%

“…It is difficult to conduct repeated live experiments and because the complex vehicle mobility models that arise are unlikely to be represented analytically, simulation is the main tool for research on VANETs [10]. The recent trend amongst research supported by the manufacturers [10] is for detailed simulations [11] to represent the large number of variables (vehicle density, car speeds, driver behaviour, road obstacles, road topologies …) that can occur.…”

mentioning

confidence: 99%

Multi-source video streaming in a wireless vehicular ad hoc network

et al. 2010

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This paper seeks to establish under what conditions (mobility, network size, wireless channel) multi-source video streaming is feasible across a wireless Vehicular Ad Hoc Network (VANET). Overlay networks with multiple sources have proven to be robust, distributed solutions to multimedia transport, including streaming. To achieve video streaming over a VANET overlay, this paper introduces a spatial partition of a video stream based on Flexible Macroblock Ordering. Tests show this can achieve a gain of over 5 dB in video quality (PSNR) depending on video content and packet loss rates. However, routing of streamed services over multiple hops and multiple paths may lead to significant packet losses, resulting in unacceptable quality of service. The paper examines the impact of differing traffic densities and road layouts upon an overlay network's performance. The work modeled the emerging IEEE 802.11p for wireless VANETs. The research demonstrates that the vehicles' mobility pattern and their drivers' behaviour need to be carefully modeled to determine signal reception. The paper also considers the impact of the wireless channel, which also should be more realistically modeled.

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“…In order to examine the impact of the above assumptions, we used VGSim [12] to simulate the VMesh storage for both one-way and two-way cases. VGSim is an integrated VANET simulation platform with realistic microscopic vehicular traffic mobility model and full stack network protocol simulation support.…”

Section: A Simulation Setupmentioning

confidence: 99%

“…VGSim also supports detailed wireless network simulation with full protocol support, so that the propagation/relay of EOI messages among vehicles can be simulated. Details of VGSim is documented in [12].…”

Section: A Simulation Setupmentioning

confidence: 99%

Assessing the VANET's Local Information Storage Capability under Different Traffic Mobility

Liu

Khorashadi

Ghosal

et al. 2010

2010 Proceedings IEEE INFOCOM

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Wireless networking enabled vehicles can form vehicular ad hoc mesh networks (VMeshs). Using cooperative communication among VMeshs, a local transient information could be "retained" within a given geographic region for a certain period of time, without any infrastructure help. In this paper, we study this "storage capability" of VMeshs. We analyze the scenarios of highway traffic (both one-way and two-way highway free flow traffic) and vehicular traffic in a city environment. For highway traffic, we study different properties of the "VMesh storage", using a simulation tool that accurately models the freeway vehicular mobility. For city traffic, we first perform simulations based on real traffic trace of San Francisco Yellow Cabs. Then we compare the results with the scenario where a general Random Way Point (RWP) mobility model is used. Our results show that transmission range has high impact on the storage lifetime for one-way highway traffic, and the size of the region in which we want the information stored has high impact for two-way highway traffic. For city-wide traffic, the storage's lifetime generated using San Francisco Yellow Cab trace is shorter than that obtained using the RWP mobility model. This is due to the regular movement of the cabs as compared to the random vehicle movement in the RWP mobility model.

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VGSim: An integrated networking and microscopic vehicular mobility simulation platform

Cited by 32 publications

References 11 publications

Predictive Vehicle Route Optimization in Intelligent Transportation Systems

Predictive Vehicle Route Optimization in Intelligent Transportation Systems

Multi-source video streaming in a wireless vehicular ad hoc network

Assessing the VANET's Local Information Storage Capability under Different Traffic Mobility

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