Parallel Closed-Loop Connected Vehicle Simulator for Large-Scale Transportation Network Management: Challenges, Issues, and Solution Approaches

作     者：Hoque, Mohammad A. Hong, Xiaoyan Ahmed, Salman 

作者机构：East Tennessee State Univ Vehicular Network Lab 2109 W Market StSuite 125 Johnson City TN 37604 USA Univ Alabama Dept Comp Sci Tuscaloosa AL 35487 USA Virginia Tech Comp Sci Blacksburg VA USA 

出 版 物：《IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE》 (IEEE智能运输系统杂志)

年 卷 期：2019年第11卷第4期

页      面：62-77页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0823[工学-交通运输工程] 

主　　题：Real-time systems Data models Protocols Wireless networks Computational modeling 

摘      要：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, we 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++. We 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. We identify the challenges and issues involved in IDCVS to incorporate this multi-level parallelism. We 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.