Environmental Evaluation of Non-stop Driving Assistance Service by High-spatiotemporal Resolution Traffic Simulator
Environmental Evaluation of Non-stop Driving Assistance Service by High-spatiotemporal Resolution Traffic Simulator
复制标题
高时空分辨率交通模拟器不间断驾驶辅助服务环境评价
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
E. Morimatsu
中科院分区：
文献类型：
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作者：
T. Ikeda;Eiji Kitagawa;E. Morimatsu
在这篇文章中，作者描述了他们使用高时空分辨率的交通模拟器对不停车驾驶辅助服务所能实现的二氧化碳减排效果的评估。不停车辅助驾驶服务是一项影响速度波动而不是平均速度的服务。因此，为了评估这项服务，作者应用了一种高时空分辨率的交通模拟器，它可以像驾驶模拟器一样精确地再现速度波动，并使用了考虑速度波动的二氧化碳排放模型。首先，他们调查了二氧化碳排放量的减少与交通流量和良好条件下的采用率之间的关系。作者发现，这项服务在交通流量较低的情况下相当有效，即使该服务的采用率很低，也可以预期二氧化碳排放量会有一定的减少。接下来，他们对恶劣条件下的服务进行了评估，发现服务的二氧化碳减排效果大大降低。因此，他们改进了服务，以解决在恶劣条件下可能出现的问题。作者还应用他们的交通模拟器来验证服务改进的效果。
In this paper, the authors describe their evaluation of the CO2 (carbon dioxide) reduction effects that can be achieved with a non-stop driving assistance service by using a high spatiotemporal resolution traffic simulator. The non-stop driving assistance service is a service that affects speed fluctuations rather than average speed. Therefore, to evaluate this service, the authors applied a high spatiotemporal resolution traffic simulator that reproduces speed fluctuations as precisely as a driving simulator and a CO2 emissions model that takes speed fluctuations into account. First, they investigated how reductions in CO2 emissions are related to traffic volume and the adoption rate under good conditions. The authors found that the service was rather effective when traffic volume was low, and that even if the service’s adoption rate was low, a certain reduction in CO2 emissions could be expected. Next, they evaluated the service under severe conditions and found that the CO2 reduction effects of the service greatly decreased. Therefore, they improved the service to solve problems that are likely to occur under severe conditions. The authors also applied their traffic simulator to verify the effects of the service improvements.