Article
Environmental Sciences
Qiang Long, Bingui Wu, Xinyue Mi, Shuang Liu, Xiaochen Fei, Tingting Ju
Summary: Low visibility caused by fog has a significant impact on transportation, making it crucial to improve forecasting abilities. Establishing proper visibility parameterization schemes can enhance accuracy, by considering factors such as RH, N-d, D, and LWC. The combination of visibility parameterization formulas with numerical models is discussed, highlighting both strengths and weaknesses.
Article
Environmental Studies
Roger Pyddoke, Jan-Erik Swardh, Staffan Algers, Shiva Habibi, Noor Sedehi Zadeh
Summary: The study found that despite the introduction of more plug-in electric vehicles, Sweden still has many fossil fuel cars, which leads to greater burdens on lower-income groups. By 2030, high-income groups can avoid adaptation costs through their car choices, while rural areas bear the largest burden.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Wan-Sik Won, Rosy Oh, Woojoo Lee, Sungkwan Ku, Pei-Chen Su, Yong-Jin Yoon
Summary: This study analyzed the hygroscopic properties of PM and their interactions with weather factors to determine their impact on visibility. A regression model was used to investigate the relationships between PM concentrations and weather observations. The results showed that adjusting -PM2.5 concentrations based on visibility-derived hygroscopic mass growth improved the accuracy of low-cost PM sensors.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Mechanical
Kristof Martinovich, Adam K. Kiss
Summary: The goal of this paper is to provide insight into the effect of acceleration saturation in the car-following model. By considering a heterogeneous, mixed-traffic scenario with time delays, the paper provides stability charts for tuning the control parameters of autonomous vehicles and achieving smooth traffic flow. It is found that taking into account acceleration saturation modifies the global behavior of the system and reduces the range of optimal technological parameters.
NONLINEAR DYNAMICS
(2023)
Article
Meteorology & Atmospheric Sciences
Rui Lyu, Yanyu Wang, Yarong Peng, Wei Gao, Hequn Yang, Xinyao Tan, Qianshan He, Tiantao Cheng, Renjian Zhang
Summary: This study investigated the long-term trend of low-visibility events in China, particularly focusing on the transition from haze days to fog days around 2004. The analysis showed that the dominant factor influencing this transition was relative humidity variation, rather than aerosol change in the low atmosphere. The results provide insights into the factors affecting the occurrence of fog and haze in China over the past few decades.
ATMOSPHERIC RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Yingchuan Yang, Baozhu Ge, Xueshun Chen, Wenyi Yang, Zhongjie Wang, Huansheng Chen, Danhui Xu, Junhua Wang, Qixin Tan, Zifa Wang
Summary: This study investigates the relationship between atmospheric visibility and PM2.5 concentrations, relative humidity, and total column water vapor in Beijing. It identifies the key factors affecting visibility changes, with water vapor content playing a significant role in the evolution of visibility. The study also introduces a novel method to distinguish between haze and fog, providing insights into the forecasting and early warning of low visibility events.
ATMOSPHERIC RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Jaemin Kim, Seung Hee Kim, Hyun Woo Seo, Yi Victor Wang, Yun Gon Lee
Summary: To address urban issues caused by rapid urbanization, South Korea plans to establish a national pilot Smart City in Sejong and Busan. This study analyzed fog generation characteristics and meteorological elements during fog, and constructed machine learning models to estimate visibility.
ATMOSPHERIC RESEARCH
(2022)
Article
Physics, Applied
Ming Zhang, Jiawei Li, Chuan Li, Fuyou He, Dingchen Li, Kexun Yu, Yuan Pan
Summary: Fog dissipation by charge and electric field is an affordable and efficient method. However, its mechanism on the variation of droplet concentration is unclear. An experiment is conducted to analyze the effect of electric field on partially charged fog. The results show that applying an electric field can significantly increase visibility and accelerate fog dissipation.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2023)
Article
Meteorology & Atmospheric Sciences
Bhogendra Kathayat, Arnico Kumar Panday, Binod Pokharel, Vinod Kumar, Narayan Prasad Chapagain
Summary: Over four decades of visibility data at Bhairahawa airport (BWA) near Lumbini, Nepal have been analyzed, revealing a significant increase in the occurrence of haze and fog, which has led to a deterioration in visibility. Haze accounts for the highest percentage of time at BWA, while fog frequency in the winter season has notably increased. Aerosol optical depth (AOD) and fine particulate matter concentration (PM2.5) have a moderate negative correlation with visibility, and higher relative humidity (RH) leads to lower visibility. It is crucial to implement regional air pollution mitigation measures and enhance aviation infrastructure to improve visibility and flight safety.
ATMOSPHERIC RESEARCH
(2023)
Article
Engineering, Civil
Xiao Wen, Sisi Jian, Dengbo He
Summary: The development of autonomous driving technology has led to the coexistence of human-driven vehicles (HVs) and autonomous vehicles (AVs) on the road. Understanding the interactions between AVs and HVs is crucial for traffic safety and efficiency. This study realistically models the dynamics and interactions between HVs following AVs, using data from the Waymo Open Dataset. The results show significant differences in HV behavior and preferences when following AVs compared to when following HVs, and the proposed model outperforms conventional and data-driven car-following models in trajectory predictions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Environmental Sciences
Michal Vojtisek-Lom, Miroslav Vaculik, Martin Pechout, Frantisek Hopan, Alden Fred Arul Raj, Srinath Penumarti, Jiri Smokeman Horak, Olga Popovicheva, Jakub Ondracek, Barbora Dousova
Summary: The study found that automobile friction brakes generate highly variable nanoparticles, and braking conditions and styles may affect particle production. Improving driving habits and traffic management could help reduce emissions. The research also revealed a complex relationship between nanoparticle emissions during braking and a combination of factors.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Ergonomics
Facheng Chen, Guangquan Lu, Haitian Tan, Miaomiao Liu, Hongfei Wan
Summary: Deploying dedicated lanes for automated vehicles can solve coordination issues between AVs and MVs, but AV platoons on dedicated lanes have a characteristic of small inter-vehicle distance, which is imitated by nearby MV drivers and reduces their car-following time headway. This study investigates the influence of DAVL assignments, inter-vehicle distances, and AV platoon speed on the car-following performance of nearby MV drivers. It provides suggestions for DAVLs, such as assigning the right lane as DAVL and maintaining appropriate inter-vehicle distances and speeds.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Meteorology & Atmospheric Sciences
Lijun Guo, Xueliang Guo, Tian Luan, Shichao Zhu, Kai Lyu
Summary: The radiative effects of clouds and fog play an important role in sustaining long-lasting fog events in northern China. During the daytime, clouds and fog reduce solar radiation, preventing dissipation of fog, while at night, the greenhouse effect of clouds and fog increases surface net radiation, inhibiting further development of fog events.
ATMOSPHERIC RESEARCH
(2021)
Article
Psychology, Applied
Anusha Adavikottu, Nagendra R. Velaga, Sabyasachee Mishra
Summary: This study aimed to investigate the effects of aggressive driver behavior and drivers' tendency to aggressive stimuli on car-following behavior. Through experiments with 58 Indian drivers using a driving simulator, it was found that due to their tendency to risk-taking behavior, aggressive drivers decreased their speed variability and recovery time by 25% and 18% respectively, while the time spent tailgating increased by 107%. The survival probabilities for aggressive drivers at 3 sec deceleration adjusting time decreased by 23.77%.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Article
Mathematics, Applied
Yanbing Wang, Maria Laura Delle Monache, Daniel B. Work
Summary: The article conducts structural and practical parameter identifiability analysis on four common car-following models. The results show that these models are structurally identifiable in theory, but only some parameters are identifiable in practical settings.
PHYSICA D-NONLINEAR PHENOMENA
(2022)
