基于ARENA的智能收费对首尔收费站交通流改善的影响

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY
Seung-Min Noh, Ho-Seok Kang, Seong-Yong Jang
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引用次数: 0

摘要

. 通过使用拥堵水平、吞吐量和平均持续时间标准,根据实际交通数据比较了交通流量改善的效果。为了保证结果的可靠性,考虑了现状和智能收费情况。模拟包括8个场景,用30次重复检查错误率,错误率低于0.5%。这些场景是根据可能影响后续车辆的车速进行分类的。智能收费模式总体上优于现行模式。特别是,将逼真的场景1和场景8与智能收费进行比较的结果是关键。结果表明,该系统可以将拥堵程度和平均持续时间降低到46%左右。从结果来看,与当前模型不同,在保持五车道的情况下,对改善交通流量有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effects of Smart Tolling for the Improvement of Traffic Flow on the Seoul Tollgate with ARENA
. The effects of traffic flow improvements were compared in terms of real traffic data by using the level of congestion, throughput, and average duration time criteria. A current situation and a situation with smart tolling were considered in order to ensure the reliability of the results. The simulation consisted of eight scenarios, the error rates were checked with 30 replications, and the error rates were noted to be lower than 0.5%. The scenarios were catego-rized by vehicle speeds that could affect subsequent vehicles. The smart tolling model was better than the current model overall. In particular, the results of comparing lifelike scenario 1 and scenario 8 with smart tolling are key. The results showed that the level of congestion and average duration time could be decreased to approximately 46%. With regard to the results, there are significant impacts on improving traffic flow while maintaining five lanes, unlike in the current model.
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