Modeling Driver Behavior in a Connected Environment: Integrated Microscopic Simulation of Traffic and Mobile Wireless Telecommunication Systems
Modeling Driver Behavior in a Connected Environment: Integrated Microscopic Simulation of Traffic and Mobile Wireless Telecommunication Systems
复制标题
DOI：
10.3141/2560-09
复制
发表时间：
2016-12
影响因子：
1.7
通讯作者：
Alireza Talebpour;H. Mahmassani;F. Bustamante
中科院分区：
文献类型：
--
作者：
Alireza Talebpour;H. Mahmassani;F. Bustamante
联网和自动驾驶汽车将通过增强安全性、改善流动性、减少能源消耗和控制排放来影响地面交通系统的未来。联网车辆技术提供的实时信息使驾驶员能够更加了解周围的交通状况并更安全、更高效地驾驶。此外，当与车载传感技术相结合时，联网车辆技术可以提高无人驾驶交通网络的效率和可靠性。本文提出了一个综合仿真框架，用于对具有联网车辆的联网驾驶环境中的驾驶员行为进行建模。该框架由与离散事件通信网络模拟器 Network Simulator 3 集成的微观交通模拟器组成，为探索最终交通系统的属性和评估这些技术的系统级影响奠定了基础。此外，还使用 FHWA 下一代模拟：US-101 高速公路数据集（代表高速公路环境中的车辆运动）研究了车辆到车辆和车辆到基础设施通信网络的连接性。研究发现，信号干扰会导致信息丢失和部分连接。最后，通过实施速度协调算法，本文讨论了考虑电信和车辆运动的重要性，以研究联网车辆应用对移动性和排放的影响。
Connected and autonomous vehicles will influence the future of the surface transportation system by enhancing safety, improving mobility, reducing energy consumption, and controlling emissions. The real-time information provided by connected vehicles technology allows drivers to become more aware of the surrounding traffic conditions and to maneuver safely and more efficiently. Furthermore, when coupled with onboard sensing technologies, the connected vehicles technology can improve the efficiency and the reliability of a driverless transportation network. This paper presents a comprehensive simulation framework to model driver behavior in a connected driving environment with connected vehicles. The framework, which consists of a microscopic traffic simulator integrated with a discrete-event communications network simulator, Network Simulator 3, forms a basis for exploration of the properties of the resulting traffic systems and assessment of the system-level impacts of these technologies. Furthermore, the connectivity of a vehicle-to-vehicle and vehicle-to-infrastructure communications network was investigated with the FHWA Next Generation Simulation: US-101 Highway data set (to represent vehicular movements in a highway environment). It was found that signal interference can result in information loss and partial connectivity. Finally, through the implementation of a speed harmonization algorithm, the paper discusses the importance of consideration of telecommunications along with vehicular movements to investigate the effects of connected vehicle applications on mobility and emissions.