Article
Construction & Building Technology
Tomasz E. Burghardt, Oleksandr Chistov, Thomas Reiter, Roman Popp, Bernhard Helmreich, Friedrich Wiesinger
Summary: Road markings are important for both human drivers and machine vision equipment, requiring high visibility and contrast ratio. Wetness and glare can negatively affect visibility, but structured road markings that facilitate moisture drainage can maintain high visibility. A field evaluation showed that flat line markings had decreased contrast ratio in wet conditions, while structured markings remained visible. Glare from oncoming vehicles significantly decreased visibility for all types of road markings. Simultaneous evaluation with LiDAR showed that structured markings provided continuous meaningful response even in wet conditions, making them more reliable for machine vision navigation. A combination of LiDAR and camera is deemed necessary for dependable steering under adverse conditions.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Engineering, Civil
Uttara Roy, Omar Albatayneh, Khaled Ksaibati
Summary: Pavement markings are crucial for guiding traffic flow, but traditional standards may not be effective for both human drivers and machine vision systems. This study conducted an online survey to investigate pavement marking management practices in various states and evaluate their effectiveness.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Multidisciplinary
Zishuo Dong, Hang Zhang, Allen A. Zhang, Yang Liu, Zhihao Lin, Anzheng He, Changfa Ai
Summary: This paper proposes a robust semantic segmentation algorithm named Marking-DNet for pixel-level recognition of pavement markings. It improves the encoder-decoder architecture of DeepLabV3+ by importing feature maps from four different scales, resulting in enhanced information exchange. Marking-DNet employs the Object-Contextual Representation and the Convolutional Block Attention Module to conduct contextual learning more efficiently and explicitly implement spatial and channel attention. Experimental results demonstrate that Marking-DNet outperforms six state-of-the-art semantic segmentation models in detecting pavement markings using both private and public image datasets, accurately detecting various complex pavement markings except for heavily-worn ones.
Article
Ergonomics
Asif Mahmud, Vikash V. Gayah, Rajesh Paleti
Summary: This study introduces a novel approach to address the issue of crash misclassification and incorporates it into two commonly used crash frequency prediction models. The proposed models demonstrate their capability to estimate true parameters and provide more reliable results compared to models that ignore misclassification errors.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Engineering, Civil
Md Istiak Jahan, Tanmoy Bhowmik, Naveen Eluru
Summary: In recent years, joint count and fractional split model structure based approaches have emerged as an alternative for analysis of multivariate crash frequency. However, current approaches have limitations in dealing with zero crashes. This research effort improves the models by explicitly considering the presence of zero crashes and includes a binary component to identify safer or riskier zones by crash configuration.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Ergonomics
Xiao Wen, Yuanchang Xie, Lingtao Wu, Liming Jiang
Summary: This paper utilizes the LightGBM machine learning method to model a Texas dataset of vehicle crashes from 2015 to 2017, and employs the SHAP method to quantify the effects of risk factors. The results suggest that the importance of risk factors varies across different collision types, with speed limit being more crucial for certain types of crashes and narrow lanes increasing the risk for all types of crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Kyung (Kate) Hyun, Suman Kumar Mitra, Kyungsoo Jeong, Andre Tok
Summary: This study investigates the impact of vehicle platooning on crash types and severity, finding that platooning is associated with more rear-end and side-swipe crashes. Additionally, speed difference among vehicle types in the platoon has a positive effect on crash incidence.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Asif Mahmud, Vikash V. Gayah
Summary: The study demonstrates that developing separate collision-specific models can be tedious and unstable, while a multivariate approach can consider the correlation between different collision types. Additionally, two-stage approaches and one-stage joint models are effective ways to study crash frequency.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Environmental Sciences
Weidong Song, Zaiyan Zhang, Bing Zhang, Guohui Jia, Hongbo Zhu, Jinhe Zhang
Summary: This study builds the first large-scale dichotomous image segmentation dataset for multi-type pavement distress segmentation, including seven types of pavement distress and nine types of scenarios, along with negative samples with texture similarity noise. In addition, it conducts a large benchmark test on seven state-of-the-art segmentation models, discusses the factors that influence segmentation performance, and evaluates the best-performing model across datasets. Furthermore, it investigates the effectiveness of negative samples in reducing false positive prediction in complex scenes and proposes two potential data augmentation methods to improve segmentation accuracy. These efforts are expected to bring promising developments for both academics and the industry.
Article
Ergonomics
Dana M. Tobin, Matthew R. Kumjian, Alan W. Black
Summary: The study estimates crash relative risk during different precipitation types in Kansas from 1995 to 2014 using matched-pair analysis and finds that the risk is enhanced during any precipitation type, with a hierarchy of risk based on precipitation type. For property damage crashes, freezing rain has the highest CRREs, followed by snow and rain. For casualty crashes, snow and freezing rain have significantly higher CRREs compared to rain, with no significant difference for sleet. The risk of a single-vehicle crash is higher than a multiple-vehicle crash during snow, sleet, and freezing rain, while the opposite is true for rain.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Engineering, Civil
Anthony Ingle, Timothy J. Gates
Summary: This study evaluates the safety performance of rural road intersections and finds that installing a combined intersection approach and increasing the radius of curvature along the curved segment at these intersections can reduce crash occurrence.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Ahmed Abohassan, Karim El-Basyouny, Tae J. Kwon
Summary: This paper presents a novel event-based framework to investigate the impact of varying pavement friction levels on traffic safety during snowstorms. The study found a significant relationship between pavement friction and traffic safety, with deteriorating road surface conditions increasing the likelihood of collisions during snowstorms. The research also concluded that driving risks varied dramatically depending on varying surface states, as represented by friction coefficient ranges.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Chemical
Hyeyoung Son, Kendra A. Erk, Chelsea S. Davis
Summary: The adhesion of temporary pavement marking (TPM) tapes is crucial for road construction traffic safety. Testing the viscoelastic properties and peel force of different brands of TPM tapes can determine the effective operating temperature range for each tape.
JOURNAL OF ADHESION
(2023)
Article
Ergonomics
Shinthia Azmeri Khan, Amir Pooyan Afghari, Shamsunnahar Yasmin, Md Mazharul Haque
Summary: This study examines the interaction between road geometry and driver behavior and its impact on run-off-road crashes along rural highways. The findings suggest that geometric design consistency plays a significant role in predicting these crashes, along with factors like clear zone width, infrastructures, terrain, and roadway remoteness. The study provides a comprehensive understanding of the influence of variations in roadway geometry on driver behavior and run-off-road crashes, helping improve road safety measures.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Engineering, Civil
Nuri Park, Seongmin Park, Juneyoung Park, Minwoo Kim
Summary: In this study, through survey analysis and driving simulator experiment, suitable pavement markings that can significantly reduce speed on urban roads were selected and evaluated. The empirical evaluation showed that the chosen marking design effectively induced deceleration and adjusted the speed reduction of different road sections to a similar level, contributing to enhancing drivers' speed limit compliance rate.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Environmental Studies
Hao Luo, Zimo Zhang, Konstantina Gkritza, Hua Cai
Summary: The study proposed a modeling framework to investigate the potential impacts of shared e-scooter trips on existing bus systems, showing that competing trips could lead to a reduction in bus ridership, while complementary trips mainly occur in areas with limited bus coverage.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Public, Environmental & Occupational Health
Lisa Lorena Losada-Rojas, Konstantina Gkritza
Summary: This study examined the relationship between levels of AV adoption and individual and location-based characteristics through market segmentation analysis and an ordered probit model, finding that high adopters generally lack active travel opportunities and have high levels of NCD. Therefore, implementing AV based solely on adoption propensity may result in adverse health outcomes.
JOURNAL OF TRANSPORT & HEALTH
(2021)
Article
Engineering, Civil
Christos Gkartzonikas, Lisa Lorena Losada-Rojas, Sharon Christ, V. Dimitra Pyrialakou, Konstantina Gkritza
Summary: This paper proposes a theoretical model to assess the factors influencing the intention to ride in autonomous vehicles, based on the Theory of Planned Behavior and the Diffusion of Innovation theory. The study finds that the model can effectively explain the behavioral intention in different urban settings, and that wider testing and public education campaigns are necessary to increase public awareness and acceptance of AV technology.
Article
Public, Environmental & Occupational Health
Lisa Lorena Losada-Rojas, Yue Ke, V. Dimitra Pyrialakou, Konstantina Gkritza
Summary: Health problems like obesity are linked to lack of access to healthy food. While urban areas have been studied, rural areas face similar challenges with transportation as a barrier to healthy food access. The study uses cost-based accessibility measures and spatial econometric models to show that urban areas have easier access to healthy food compared to rural areas. The study suggests transportation innovations like mobile markets and ridesharing can improve access.
JOURNAL OF TRANSPORT & HEALTH
(2021)
Article
Green & Sustainable Science & Technology
Theodora Konstantinou, Christos Gkartzonikas, Konstantina Gkritza
Summary: This paper examines the importance of dynamic charging technology in accelerating the adoption of electric vehicles. Through a survey, it is found that factors such as innovativeness, lifestyle, and environmental consciousness significantly influence people's intention to purchase an EV and drive on electric roadways. Understanding the public acceptance of the technology and evaluating the value of travel time savings on electric roadways can assist policymakers and transport operators in devising appropriate strategies.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Transportation
Christos Gkartzonikas, Yue Ke, Konstantina Gkritza
Summary: The study found that shared autonomous vehicles are not as popular as single occupant AVs across all market segments, and the value of travel time savings for shared autonomous vehicles is lower compared to single occupancy AVs, regardless of the time horizon.
CASE STUDIES ON TRANSPORT POLICY
(2022)
Article
Engineering, Civil
Donghui Chen, Kyubyung Kang, Dan Daehyun Koo, Cheng Peng, Konstantina Gkritza, Samuel Labi
Summary: This study introduces an agent-based simulation model to project the consequences of electrification in the Indiana state highway system. The simulation experiment verifies the effectiveness of the model and provides data on electric energy demand and failed trips. A GIS-based analysis helps determine the deployment locations of charging facilities to meet overall charging demand.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Sarah E. Adsit, Theodora Konstantinou, Konstantina Gkritza, Jon D. Fricker
Summary: This study evaluated the factors influencing public perceptions of four alternative intersection/interchange designs and found that younger, male, highly educated individuals who travel more often or for longer distances, and those who rate their own driving ability highly are more likely to accept and be confident using these designs.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2022)
Article
Economics
Lisa L. Losada-Rojas, Dimitra Pyrialakou, Brigitte S. Waldorf, Jorge A. Banda, Konstantina Gkritza
Summary: This study examines the relationships between physical activity levels, built environment, and access to infrastructure using an online stated preference survey and secondary data. The results show that the effect of the built environment on physical activity is lower in isolated rural and suburban areas compared to urban areas and large rural towns, which have higher physical activity levels.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Economics
Diala Haddad, Theodora Konstantinou, Dionysios Aliprantis, Konstantina Gkritza, Steven Pekarek, John Haddock
Summary: Electric roadways represent a new paradigm for electrified transportation, providing energy to electric vehicles through wireless power transfer technology and alleviating range anxiety. However, the high cost and resource-intensive nature make the large-scale deployment of electric roadways challenging. This paper presents a detailed analytical framework and evaluates the financial feasibility and risks of electric roadway projects through a case study.
Article
Economics
Le Wen, Mingyue Selena Sheng, Basil Sharp, Tongyu Meng, Bo Du, Ming Yi, Kiti Suomalainen, Konstantina Gkritza
Summary: The joint deployment of solar photovoltaic systems and electric vehicles is a sustainable option for decarbonisation. However, the potential influence of solar PV on EV uptake within a spatial-temporal framework is often overlooked. This study uses a unique dataset in Auckland, New Zealand to examine the complementarity between EVs and solar PV. The findings suggest a positive relationship between solar PV installation and EV uptake, as well as the impact of charging infrastructure and early EV adoption on subsequent EV uptake.
Article
Economics
Theodora Konstantinou, Samuel Labi, Konstantina Gkritza
Summary: This paper addresses the concerns of revenue loss in the long-term due to the increased adoption of electric vehicles, and proposes alternative funding mechanisms to recover the loss. The study is conducted in Indiana, U.S., and analyzes data on average vehicle miles travelled, fuel taxes, vehicle registrations, fuel efficiency and consumption. The findings provide optimal annual fees for different types of electric vehicles and discuss potential mitigation measures.
RESEARCH IN TRANSPORTATION ECONOMICS
(2023)
Article
Environmental Studies
Konstantinos Flaris, Konstantina Gkritza, Patrick A. Singleton, Antje R. H. Graul, Ziqi Song
Summary: This study investigates bus riders' preferences toward battery electric buses (BEBs) and shows that rider perceptions towards bus electrification are influenced by factors such as trip purpose, attitudes towards environmental issues, environmental impacts of BEBs, and non-instrumental ride factors. Understanding the importance of electrification to transit riders can help transit service providers adjust their marketing decisions and systemwide operations to accommodate preferences towards BEBs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Energy & Fuels
David Trinko, Noah Horesh, Regan Zane, Ziqi Song, Abhilash Kamineni, Theodora Konstantinou, Konstantina Gkritza, Casey Quinn, Thomas H. Bradley, Jason C. Quinn
Summary: Electricity is expected to become a dominant power source in transportation, and recent developments in wireless power transfer (WPT) technology offer a potential solution for charging electric vehicles while they are in motion. This study assesses the economic feasibility and environmental impact of a WPT charging system located on a busy corridor in Los Angeles. The results demonstrate that the system can achieve a payback in 20 years, while maintaining operational cost advantages over traditional fueling methods.
Review
Ergonomics
Jon Berrick, Konstantina Gkritza
Summary: The study examines the impact of motorcycle helmet laws on adolescent behavior, highlighting that universal laws result in higher compliance rates due to their more convincing message about protection. This suggests broader alternatives should be considered in safety and health policy-making.
JOURNAL OF SAFETY RESEARCH
(2021)
