Impact of Fog on Vehicular Emissions and Fuel Consumption in a Mixed Traffic Flow with Autonomous Vehicles (AVs) and Human-Driven Vehicles Using VISSIM Microsimulation Model
Impact of Fog on Vehicular Emissions and Fuel Consumption in a Mixed Traffic Flow with Autonomous Vehicles (AVs) and Human-Driven Vehicles Using VISSIM Microsimulation Model
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DOI：
10.1061/9780784484876.023
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发表时间：
2023-06
期刊：
影响因子：
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通讯作者：
Melika Ansarinejad;Ying Huang;Aaron Qiu
中科院分区：
文献类型：
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作者：
Melika Ansarinejad;Ying Huang;Aaron Qiu
雾天驾驶会降低能见度，影响驾驶员的视觉和感知，改变驾驶行为，给道路使用者带来很高的风险，这是影响车辆排放和油耗的最重要因素之一。本研究分析了PTV VISSIM交通微模拟输出在恶劣天气条件下模拟车辆的尾气排放和燃油消耗。这款天气相关的仿真系统采用先进的心理物理汽车跟随模型“Wiedemann’s 99”，灵活控制各种驾驶条件下的驾驶行为参数。结果表明，与晴朗天气和其他情况相比，雾天条件下的车辆消耗更多的燃料，产生更多的排放。随着当前城市向智慧可持续城市的过渡，通过将自动驾驶汽车（AVs）引入传统交通网络并逐步提高其渗透率，雾天条件下驾驶对环境的负面影响将减少，自动驾驶和人类驾驶共享网络的整体机动性将得到改善。
Driving in foggy conditions poses high risks to road users due to the reduction of visibility, affecting the drivers’ vision and perception, and making changes in driving behavior, which is one of the most important factors affecting vehicular emissions and fuel consumption. This study analyzes the PTV VISSIM traffic microsimulation outputs for exhaust emissions and fuel consumption of vehicles simulated under adverse weather conditions. This weather-dependent simulation is developed by using the advanced psychophysical car-following model “Wiedemann’s 99,” to flexibly control the driving behavior parameters in various driving conditions. Results show that vehicles under foggy conditions consume more fuel and produce more emissions in comparison with clear sky conditions and other scenarios. With the transition of current cities to smart sustainable cities and by introducing automated vehicles (AVs) to the traditional traffic network and gradually increasing their penetration rate, negative environmental impacts of driving under foggy conditions will be reduced, and improvement in overall mobility of a shared network of autonomous and human-driven is observable.