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A microscopic simulation and animation model for electronic toll plazas.

机译:电子收费广场的微观仿真和动画模型。

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This study presents a discrete-event stochastic object-oriented microscopic simulation model specifically developed to evaluate the operational performance of toll plazas. Modified versions of Car-Following and Lane-Changing Algorithms, and a new Toll-Lane Selection Algorithm are integrated into this new model to simulate traffic operation at toll plazas. The model output includes Measures of Effectiveness that can be used to evaluate the performance of existing and future individual toll lanes and the entire toll plaza system. Statistical tests indicated that there is no significant difference at the 95% confidence level between Measures of Effectiveness obtained from the model and those collected in the real world.; Sensitivity analysis of market penetration of the Electronic Toll Collection (ETC) system indicates that an increase in ETC subscription rate improves the efficiency of the toll plaza operation. The findings of this study showed that, for all plaza configurations simulated with the manual lanes operating over capacity, the total plaza delay can be reduced in half and average queuing delay per vehicle can be reduced by more than 90 seconds if only 10% of the users can switch from manual to ETC lanes.; An increase of 20%30% of the plaza throughput can be achieved by switching only 10% of the manual users to ETC users during the morning peak hour when the manual lanes operate over their capacities.; Analysis of peak hour delay showed also that adding more dedicated ETC lanes immaturely, i.e., without an increase in the level of ETC subscription, can cause an increase in the plaza queuing delay and decrease in the total plaza throughput.; Sensitivity analysis of the ETC market penetration showed that when ETC usage during the rush hour is high (>60%), delays reach a considerably reduced level for all plaza configurations, and any additional dedicated ETC lane does not have any impact on the plaza operational performance.; Delay Sensitivity analysis to the locations of dedicated ETC lanes indicated that plaza delay is insensitive to the locations of the dedicated ETC lanes. ETC vehicle accessibility to the dedicated ETC lanes from the approach lanes is the main factor that influences the locations of the dedicated ETC within the toll plaza. (Abstract shortened by UMI.)
机译:这项研究提出了一种离散事件随机面向对象的微观仿真模型,专门用于评估收费广场的运营性能。新的模型中集成了汽车跟随和车道变换算法的修改版本以及新的收费车道选择算法,以模拟收费站的交通运营。模型输出包括有效性度量,可用于评估现有和将来的单个收费通道和整个收费广场系统的性能。统计测试表明,从模型获得的有效性度量与在现实世界中收集的有效性度量之间,在95%的置信度水平上没有显着差异。电子收费系统(ETC)系统市场渗透率的敏感性分析表明,ETC订费率的提高提高了收费广场运营的效率。这项研究的结果表明,对于以手动车道超负荷运行模拟的所有广场配置,总广场延迟可以减少 half ,每辆车的平均排队延迟可以减少超过< italic> 90秒,如果只有10%的用户可以从手动通道切换到ETC通道。通过在上午高峰时段仅在手动车道上将10%的手动用户切换为ETC用户,可以实现广场吞吐量的 20%- 30%的增加尽力而为。高峰时间延迟的分析还表明,过早地增加更多的专用ETC车道,即不增加ETC预订水平,会导致广场排队延迟的增加和总广场吞吐量的下降。对ETC市场渗透率的敏感度分析表明,在高峰时段使用ETC的比例较高(> 60%)时,所有广场配置的延迟都大大降低,并且任何额外的专用ETC车道都不会对广场运营产生任何影响性能。;对专用ETC通道的位置的延迟敏感性分析表明,广场延迟对专用ETC通道的位置不敏感。 ETC车辆从进近车道进入专用ETC车道的可及性是影响收费广场内专用ETC位置的主要因素。 (摘要由UMI缩短。)

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