Traffic Analysis and Simulation System for Korea Highway

한영탁,; Jeon, soo bin; Shinsejeong,; Seo, Dongmahn; Jung, Inhwa

doi:10.5626/ktcp.2016.22.9.426

Cited by 1 publication

(2 citation statements)

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“…In the experiment, we used the Verkehr In Städten-SIMulationsmodell 6 (VISSIM 6, Karlsruhe, Germany, 2013) simulator supported by the Planung Transport Verkehr (PTV) Corporation [18], which is a micro-simulator that can be implemented and tested for various road environments. To control the traffic flow and VISSIM simulator, we implemented the Korea highway traffic analysis (KHTA) system, which controlled VSSIM and provided similar real road conditions in our experiments [19]. After the simulation was complete, the performance of the VSL algorithm was evaluated using performance metrics.…”

Section: Experimental Environment For Microscopic Simulationmentioning

confidence: 99%

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The Multi-Station Based Variable Speed Limit Model for Realization on Urban Highway

2020

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Intelligent transport systems (ITS) are a convergence of information technology and transportation systems as seen in the variable speed limit (VSL) system. Since the VSL system controls the speed limit according to the traffic conditions, it can improve the safety and efficiency of a transport network. Many researchers have studied the real-time VSL (RVSL) algorithm based on real-time traffic information from multiple stations recording traffic data. However, this method can suffer from inaccurate selection of the VSL start station (VSS), incorrect VSL calculations, and is unable to quickly react to the changing traffic conditions. Unstable VSL systems result in more congestion on freeways. In this study, an enhanced VSL algorithm (EVSL) is proposed to address the limitations of the existing RVSL algorithm. This selects preliminary VSL start stations (pVSS), which is expected to end congestion using acceleration and allocates final VSSs for each congestion interval using selected pVSS. This controls the vehicles that entered the congestion area based on the selected VSS. We used four metrics to evaluate the performance of the proposed VSL (VSS stability assessment, speed control stability assessment, travel time, and shockwave), which were all enhanced when compared to the standard RVSL algorithm. In addition, the EVSL algorithm showed stable VSL performance, which is critical for road safety.

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Section: Experimental Environment For Microscopic Simulationmentioning

confidence: 99%

“…Above parameter values are already measured from Shin at al. [24], which simulates the same simulation section. Therefore, we fully follow the measurement values of the calibration parameters obtained above.…”

Section: Experimental Environment For Microscopic Simulationmentioning

confidence: 99%