Article
Environmental Sciences
Xiangtong Su, Danyue Zhi, Dongdong Song, Le Tian, Yitao Yang
Summary: This study examines the relationship between weather conditions and traffic delays caused by traffic incidents in New York State using data from January 1 to December 31, 2020. The findings show that wind speed, temperature, and visibility have the greatest impact on traffic delay levels after a traffic accident, and their effects vary significantly depending on the severity of the delay. These findings can inform policymakers in developing comprehensive and differentiated security measures to address traffic delays.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Goodarz Mehr, Azim Eskandarian
Summary: Sentinel is an onboard system for intelligent vehicles that guides lane changing behavior during freeway incidents, reducing traffic congestion and improving capacity. When used in conjunction with Traffic Incident Management Systems, it can significantly reduce traffic delay.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Mathematics, Applied
Yicai Zhang, Min Zhao, Dihua Sun, Shi Hui Wang, Shuai Huang, Dong Chen
Summary: This study investigates the mixed traffic lattice hydrodynamic model to analyze the mixed traffic situation with connected and non-connected vehicles, and obtains the stability conditions of the traffic system and the modified Korteweg-de Vries equation through linear and nonlinear analysis. The numerical simulation results confirm the theoretical findings, showing that increasing the communication range and permeability of connected vehicles will enhance the stability of the traffic system.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Engineering, Industrial
Xiaojun Zhu, N. Balakrishnan
Summary: In this paper, non-parametric statistical inferential methods for component lifetime and system lifetime distributions are developed based on a life-test of non-identical coherent systems with known signatures. Maxium likelihood estimation method using EM-algorithm and cumulative hazard approach of Nelson-Aalen estimation method are employed. The method is then extended to handle multiple-stress problems by assuming proportional hazards model for the components. The derived results are applied to warranty time analysis, and the performance of the developed inferential methods is evaluated through Monte Carlo simulation study. Examples are provided for illustrative purpose.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Mathematics
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau, Afrah Al-Bossly, Mahmoud El-Morshedy
Summary: In this study, a general hazard regression model is proposed for censored lifetime data with covariates. This model includes well-known sub-classes such as the accelerated failure time model and the proportional hazard model. By separating the covariate's effect into a relative hazard ratio and a time-scale change, the model is more adaptive and can provide more accurate survival forecasts. The nested structure of the models offers a tool for identifying the most appropriate model for a given dataset.
Article
Engineering, Mechanical
Yicai Zhang, Min Zhao, Dihua Sun, Chen Dong
Summary: The increase in ACC vehicles contributes to the stability of the transportation system, as indicated by both linear stability analysis and numerical simulations.
NONLINEAR DYNAMICS
(2021)
Article
Chemistry, Analytical
Lichen Su, Jing Wei, Xinwei Zhang, Weiwei Guo, Kai Zhang
Summary: This paper proposes a stochastic temporal queueing model to describe the queue dynamics of mixed traffic flow at ramping bottlenecks. The model allows for two kinds of vehicle velocities and first-in-first-out (FIFO) queueing behaviors. By checking the occurrence of significant velocity drop along the road, rather than examining the duration of the simulated jam queue, erroneous conclusions of traffic breakdown can be avoided. Monte Carlo simulation results show that the generated breakdown probability curves for pure human driven vehicles agree well with empirical observations. Further analysis and tests indicate that the chosen car-following strategy of automated vehicles characterizes the breakdown probabilities, and a penetration rate of over 20% of automated vehicles can noticeably shift the traffic breakdown probability curve of mixed traffic rightward, demonstrating the potential benefit of automated vehicles in improving traffic efficiency.
Article
Geography
Wenyan Hu, Bingkun Chen, Stephan Winter, Kourosh Khoshelham
Summary: This article proposes a novel communication strategy for vehicular ad hoc networks to inform affected vehicles while involving a minimal number of unaffected vehicles. By using time geography as a filter, the strategy ensures timely termination of information broadcasting when the incident is over. Agent-based traffic simulations demonstrate significant improvements in travel efficiency and timely updates of outdated incident information when a road is temporarily blocked.
TRANSACTIONS IN GIS
(2022)
Article
Engineering, Industrial
Abdullah Alsharef, Alex Albert, S. M. Jamil Uddin, Nikhil Basavaraj Kittur, Sampada Chavan, Edward Jaselskis
Summary: Driver license examiners serve as a first line of defense against unsafe drivers, yet they themselves face high safety risks during testing. The study found that examiners experience numerous incidents, with common event types, contributing factors, injury types, and outcomes identified. Specific relationships in incident reports, such as collision with fixed objects, were also highlighted to inform future injury prevention efforts.
Article
Chemistry, Multidisciplinary
Kochupillai Selvaraj Arikumar, Sahaya Beni Prathiba, Shakila Basheer, Rajalakshmi Shenbaga Moorthy, Ankur Dumka, Mamoon Rashid
Summary: Vehicle-to-everything (V2X) is a communication technology that allows vehicles to communicate with their surroundings. To overcome traffic congestion and unawareness of emergency vehicles (EVs), we propose a jitter-to-highly reliable (J2H) approach which customizes traffic signals and alerts other vehicles.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Sandeep Kumar Arora, Gulshan Kumar, Tai-hoon Kim
Summary: The study introduces a blockchain-based trust management model to address malicious nodes in vehicular adhoc networks, improving data transmission efficiency and reducing latency.
APPLIED SCIENCES-BASEL
(2021)
Article
Ergonomics
Danni Cao, Jianjun Wu, Xianlei Dong, Huijun Sun, Xiaobo Qu, Zhenzhen Yang
Summary: This study designs a systematic framework to quantify speed reduction caused by traffic incidents and proposes a two-phase scheme. Firstly, the impacted region is determined using shockwave propagation, followed by the identification of matched freeway segments using causal inference method for quantifying the incident impact on speed reduction. The case study in China demonstrates the validity of the proposed method with interesting observations regarding congestion duration and average causal effect of incidents on impacted freeway segments.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Transportation Science & Technology
Anshuman Sharma, Zuduo Zheng, Jiwon Kim, Ashish Bhaskar, Md Mazharul Haque
Summary: This study models the mixed traffic of traditional vehicles and connected vehicles, considering the impact of driver compliance. Two simulation experiments are conducted to measure traffic flow disturbance, efficiency, and safety, while also investigating the spatial distribution of connected vehicles in platoons. The findings highlight the importance of spatial arrangement of connected vehicles in platoons, showing that they can suppress traffic flow disturbance and enhance efficiency and safety, but caution is needed in their deployment in real-world traffic.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Green & Sustainable Science & Technology
Chubo Xu, Jianxiao Ma, Xiang Tang
Summary: This paper reveals the mechanism of how low-speed vehicles (LSVs) affect expressway traffic safety and investigates the differences in vehicle conflicts when an LSV moves in different lanes at the same speed. The results show that LSVs with lower speeds have a more significant negative impact on expressways.
Article
Economics
Marcel Sala, Francesc Soriguera
Summary: In the near future, autonomous vehicles (AVs) will share current freeways with human driven vehicles. The efficiency of this mixed traffic scenario relies on the cooperative behavior of AVs. Connected AVs (CAVs) traveling in platoons offer a promising strategy to maximize the benefits of AVs' technological advancements. This paper introduces a macroscopic model to estimate CAVs platoon length, filling a research gap and highlighting the importance of this factor in driving capacity improvements on freeways.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)