Data driven Adaptive Traffic simulation of an expressway

Abhinav Sunderrajan, Vaisagh Viswanathan, Wentong Cai, A. Knoll
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引用次数: 1

Abstract

Ubiquitous data from a variety of sources such as smart phones, vehicles equipped with GPS receivers and fixed sensors makes it an exciting time for the implementation of several Advanced Traffic Information and Management Systems (ATMS). Leveraging this data for current traffic state estimation along with short term predictions of traffic flow can have far reaching implications for the next generation of Intelligent Transportation Services (ITS). In this paper, we present our proof-of-concept of such a data driven traffic simulation for the short term prediction and control of traffic flow by simulating a real world expressway through dynamic ramp-metering.
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高速公路数据驱动自适应交通仿真
来自各种来源的无处不在的数据,如智能手机、配备GPS接收器和固定传感器的车辆,使几个先进交通信息和管理系统(ATMS)的实施成为一个激动人心的时刻。利用这些数据对当前交通状态进行估计,并对交通流量进行短期预测,将对下一代智能交通服务(ITS)产生深远的影响。在本文中,我们提出了这样一个数据驱动的交通模拟的概念验证,通过动态匝道计量模拟现实世界高速公路的交通流的短期预测和控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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