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Traffic flow model of network simulators for estimation of CO_2 emissions

机译:用于估算CO_2排放的网络模拟器的流量模型

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This paper describes a new approach to developing a traffic flow model of traffic network simulators for the estimation of CO_2 emissions by considering various measures such as the use of vehicle control systems and transportation demand management (TDM) strategies. Thus far, we have developed the traffic network simulator NETSTREAM (NETwork Simulator for TRaffic Efficiency And Mobility), which has been able to reproduce traffic congestion in large-scale networks because of its unique traffic flow model. This paper proposes an enhancement of this model: acceleration is also considered because it has a significant effect on the calculation of CO_2 emissions. The proposed model is then verified and validated. The results indicate that it can reproduce acceleration in a way that closely agrees with the actual data, while maintaining the Q-K and K-V relationships. Finally, this paper presents an example evaluation of an acceleration control system. We confirm that the proposed traffic flow model can evaluate environmental improvements in large-scale networks.
机译:本文介绍了一种通过考虑各种措施(例如使用车辆控制系统和运输需求管理(TDM)策略)来开发交通网络模拟器的交通流模型以估算CO_2排放的新方法。到目前为止,我们已经开发出了交通网络模拟器NETSTREAM(用于提高交通效率和移动性的NETwork模拟器),由于其独特的交通流模型,它能够重现大规模网络中的交通拥堵。本文提出了对该模型的改进:还考虑了加速度,因为它对CO_2排放量的计算有重大影响。然后对提出的模型进行验证和确认。结果表明,它可以在保持Q-K和K-V关系的同时,以与实际数据非常吻合的方式重现加速度。最后,本文提供了一个加速度控制系统的示例评估。我们确认,提出的交通流模型可以评估大型网络中的环境改善。

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