Parallel Closed-Loop Connected Vehicle Simulator for Large-Scale Transportation Network Management: Challenges, Issues, and Solution Approaches
The augmented scale and complexity of urban transportation networks have significantly increased the execution time and resource requirements of vehicular network simulations, exceeding the capabilities of sequential simulators. The need for a parallel and distributed simulation environment is inevitable from a smart city perspective, especially when the entire city-wide information system is expected to be integrated with numerous services and ITS applications. In this paper, the authors present a conceptual model of an Integrated Distributed Connected Vehicle Simulator (IDCVS) that can emulate real-time traffic in a large metro area by incorporating hardware-in-the-loop simulation together with the closed-loop coupling of SUMO and OMNET++. The authors also discuss the challenges, issues, and solution approaches for implementing such a parallel closed-loop transportation network simulator by addressing transportation network partitioning problems, synchronization, and scalability issues. One unique feature of the envisioned integrated simulation tool is that it utilizes the vehicle traces collected through multiple roadway sensors? DSRC onboard unit, magnetometer, loop detector, and video detector. Another major feature of the proposed model is the incorporation of hybrid parallelism in both transportation and communication simulation platforms. The authors identify the challenges and issues involved in IDCVS to incorporate this multi-level parallelism. The authors also discuss the approaches for integrating hardware-in-the-loop simulation, addressing the steps involved in preprocessing sensor data, filtering, and extrapolating missing data, managing large real-time traffic data, and handling different data formats.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19391390
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Supplemental Notes:
- Copyright © 2019, IEEE.
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Authors:
- Hoque, Mohammad A
- Hong, Xiaoyan
- Ahmed, Md Salman
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 62-77
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Serial:
- IEEE Intelligent Transportation Systems Magazine
- Volume: 11
- Issue Number: 4
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1939-1390
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645
Subject/Index Terms
- TRT Terms: Connected vehicles; Driving simulators; Feedback control; Mathematical models; Networks; Urban transportation; Wireless communication systems
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01722250
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 14 2019 9:30AM