Article
Ergonomics
Omar Almutairi, Heng Wei
Summary: This study examined dilemma zone types and lengths based on GMH definitions and probability-of-stopping models, and explored the linkage between the two models. The effects of SRLC and TSCT on dilemma zone determination and safety were investigated, with SRLC significantly shifting the dilemma zone downstream and increasing stopping probability, while TSCT had no significant effect on the dilemma zone but increased approaching speeds. It was found that dilemma zone type II can effectively capture all dilemma zone types.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Engineering, Industrial
Madhumita Paul, Indrajit Ghosh, Md Mazharul Haque
Summary: This study investigated the effectiveness of using a green signal countdown timer (GSCT) at signalized intersections in a developing country. The empirical assessment revealed that GSCT can minimize the length of dilemma zones (DZ) and reduce crossing and rear-end conflicts by reducing red light violations and inconsistent stopping behaviors.
Article
Computer Science, Artificial Intelligence
Haoyang Meng, Sheng Dong, Jibiao Zhou, Shuichao Zhang, Zhenjiang Li
Summary: Green flash light (FG) and green countdown (GC) are two common signal formats applied in green-red transition to provide drivers with additional alerts. The study identifies stop-pass decision points of e-bike riders under FG or GC by analyzing trajectory data, classifying behaviors and building binary-logit models. The analysis reveals that the potential time to the stop-line is the dominant factor influencing the different behaviors of GC and FG.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Chemistry, Multidisciplinary
Jun Yong Kim, Sang Youn Lee, Kwan Hyun Cho, Yun Seon Do
Summary: A novel design method is proposed for a dual-microcavity structure in electroluminescent devices, which controls high-order modes and produces multiple peaks at RGB resonant wavelengths. This dual-microcavity effect can be conveniently fabricated and manipulated while maintaining the electrical properties of the devices. The method is expected to be applied industrially, promoting the advancement of next-generation displays.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Ergonomics
Yuting Zhang, Xuedong Yan, Xiaomeng Li
Summary: This study examined the impact of the red-light-running warning system on drivers' decision-making and behaviors in foggy and clear weather conditions. Results showed that drivers took compensation actions in foggy weather to reduce risks at intersections, and the warning system was effective in reducing violations.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Yuting Zhang, Xuedong Yan, Xiaomeng Li
Summary: The study reveals that drivers tend to take compensatory actions in fog to reduce red-light violations, and the red-light-running auditory-warning system is effective in reducing violations both in clear and foggy weather conditions.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Yuting Zhang, Xuedong Yan, Xiaomeng Li
Summary: The study examines the impact of the RLR warning system on drivers' behaviors in both foggy and clear weather conditions. It was found that drivers tend to take compensatory actions in foggy weather while the RLR-AW system can effectively reduce RLR violations and prompt quicker and smoother responses from drivers. The study highlights the importance of using the RLR-AW system in adverse weather conditions to improve driving safety.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Transportation Science & Technology
Moynur Rahman, Min-Wook Kang, Pranesh Biswas
Summary: This study proposes an innovative framework for predicting driver behavior using machine learning techniques, which processes vehicle attribute data and utilizes different classification methods to predict drivers' decisions in dilemma zone situations. The results show high prediction accuracies and that the artificial neural network model performs best in representing dilemma zone boundaries.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Electrical & Electronic
Luciano F. S. Alves, Van-Sang Nguyen, Pierre Lefranc, Jean-Christophe Crebier, Pierre Olivier Jeannin, Benoit Sarrazin
Summary: This article presents a cascaded gate driver architecture to improve the switching speed of series-connected power devices and reduce switching losses. The improvement is achieved by reducing the equivalent parasitic capacitance of the gate driver circuitry. Theoretical and experimental measurements support the proposed cascade gate driver architecture.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Ergonomics
Dianchen Zhu, N. N. Sze, Zhongxiang Feng
Summary: This study focuses on the behavior of pedestrians running red lights in Hong Kong, finding that pedestrians are more inclined to choose to save time over increasing safety risks, rather than choosing safety. Furthermore, the trade-off between safety and time may vary among different pedestrian groups, and the presence and type of other violators also significantly affect the propensities of pedestrians running red lights.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Engineering, Electrical & Electronic
Christopher A. A. Bower, Brook Raymond, Christopher Verreen, Carl Prevatte, Salvatore Bonafede, Andrew Pearson, Nathan Rivers, Benjamin Keller, Tiffany Weeks, Brandon Trinh, Erik Vick, Erich Radauscher, Nikhil Jain, Miroslav Samarskiy, Matthew A. Meitl
Summary: This paper reviews the application of transfer printing in the development of microLED displays and describes a pixel-driver microIC with vertically integrated microLEDs, which enables assembly onto passive wiring panels to realize displays.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Multidisciplinary Sciences
Lyndsey K. Tanabe, Jesse E. M. Cochran, Michael L. Berumen
Summary: Sea turtles have distinct nesting and foraging areas that are often separated by long distances. Telemetry is a crucial tool for tracking their migrations, but tagging efforts are mostly focused on a few large rookeries in a specific region. In the Red Sea, for example, turtle tagging has mainly been done in the northern part of the basin. In this study, we tagged five green turtles at a nesting site in the central-southern Red Sea and tracked their movements for several months. The turtles showed high site-fidelity during the inter-nesting period and migrated up to 1100 km to foraging locations in three different countries after nesting.
SCIENTIFIC REPORTS
(2023)
Article
Biochemistry & Molecular Biology
Mireya Santander-Nelli, Bastian Boza, Felipe Salas, David Zambrano, Luis Rosales, Paulina Dreyse
Summary: A series of new Ir(III) complexes have been designed as luminescent materials by using a mixture of different ligands. The emitting properties of these complexes have been analyzed theoretically to determine the optimal emission colors. A system using a combination of these complexes has been proposed to produce white luminescent materials.
Article
Materials Science, Multidisciplinary
Xuesen Zhao, Liang Zhou, Qi Zhu, Rongzhen Cui, Yingjie Cui, Weiqiang Liu, Jiahai Wang, Xiaoyun Mi
Summary: By utilizing PQ(2)Ir(dpm) as the light-emitting material and TAPC and Tm3PyP26PyB as host materials, high performance red EL devices with very low operation voltage were designed. The advantages of this design strategy include easier injection, broadening recombination zone, and balanced carriers' distribution.
Article
Transportation
Robert Kaul, Meike Jipp
Summary: This study aimed to investigate the cognitive processes underlying decision-making at signalised intersections and the collision risk after yellow-onset. The results showed that having a car in a leading position increased the probability of not stopping after yellow-onset. Additionally, a cognitive distracting secondary task led to longer perception-response times (PRT) after yellow-onset, but only if there was no car in a leading position. Pupillary responses also supported this pattern of results. Finally, the concept of coupled motion was proposed to explain the stop/go pattern of drivers after yellow-onset.
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES
(2023)
Article
Engineering, Civil
Wanjing Ma, Benwei Chen, Chunhui Yu, Xinzhou Qi
Summary: This study proposes a trajectory planning model for CAVs at work zones under mixed traffic environment, considering both longitudinal and lateral trajectories. By observing the states of CAVs and HVs and considering the interactions between vehicle driving behaviors, the number and initial states of unobservable HVs in the planning horizon are estimated. The proposed model formulates a centralized trajectory planning model to optimize acceleration profiles and lane choices of CAVs in the planning horizon, with the objective of minimizing total vehicle delay and fuel consumption.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Transportation
Ruochen Hao, Meiqi Liu, Wanjing Ma, Bart van Arem, Meng Wang
Summary: Due to the complexity of manoeuvre, there is a lack of models in the literature that describe the platoon formation process on urban roads. Inspired by flocking behaviours in nature, this study proposes a two-dimensional model based on the potential theory to describe the dynamics of connected automated vehicle (CAV) groups, which can also be applied to human-driven vehicles in mixed traffic environments.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Engineering, Civil
Lei Wang, Wenxiang Li, Jinxian Weng, Dong Zhang, Wanjing Ma
Summary: This study identifies the effects of carbon credits and monetary rewards on people's willingness to adopt ridesplitting. It shows that subjective norms and perceived behavioral control significantly affect ridesplitting intentions. Carbon credits have a greater direct effect on ridesplitting intention than monetary rewards. The impact of monetary rewards decreases while the impact of carbon credits increases with increasing incentive value.
Article
Engineering, Civil
Ali Danesh, Wanjing Ma, Ling Wang
Summary: In this paper, the authors compare different intersection control types, including two-way stop control, signalized intersection, roundabout, and signalized roundabout, based on capacity and delay. The results show that signalized roundabout outperforms other control types in both capacity and delay at higher demand levels. It was also found that using both roundabout and signalized roundabout together can significantly reduce delay when there is fluctuation in demand.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Transportation
Ling Wang, Lingjie Zou, Mohamed Abdel-Aty, Wanjing Ma
Summary: This study investigated the crash mechanisms in different traffic states using high-resolution trajectory data. The results showed that crash risk is mainly determined by upstream contributing factors under smooth states, and by downstream factors under congestion conditions.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Economics
Philip Kofi Alimo, Abdul Basit Abdul Rahim, George Lartey-Young, Daniel Ehebrecht, Ling Wang, Wanjing Ma
Summary: The demand for motorcycle taxis has increased significantly in Ghana in the last decade. The lack of research data from users' perspectives makes it difficult to formulate effective policies. This study surveyed 1489 motorcycle taxi users and found that the majority support formal regulation and intend to continue using the service. Users' geographical location, occupation, and perceived safety are significantly associated with their intentions to continue using motorcycle taxis.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Transportation Science & Technology
Wanjing Ma, Jian Yuan, Kun An, Chunhui Yu
Summary: This study proposes a route flow estimation framework by fusing probe vehicle trajectory and automated vehicle identification (AVI) data. The model uses the concept of probe vehicle route penetration rate (RPR) to construct a novel data-driven objective function. Numerical studies show that the proposed model outperforms traditional path flow estimation model, especially when prior flow information is not available.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Ergonomics
Wanjing Ma, Philip Kofi Alimo, Ling Wang, Mohamed Abdel-Aty
Summary: This study provides a comprehensive overview of the progress and publication trends in pedestrian safety analysis through a scientometric analysis of research indexed in the Web of Science. The findings reveal the low research productivity from low and middle-income countries compared to their high incidence of pedestrian deaths. It also identifies four keyword clusters to guide future research work.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Economics
Philip Kofi Alimo, Stephen Agyeman, Ali Danesh, Chunhui Yu, Wanjing Ma
Summary: Public bike-sharing is not widely adopted in sub-Saharan Africa, with only five countries implementing it. The lack of data makes planning and implementation difficult. This study investigates road users' perceptions of a proposed novel bike-sharing scheme in Ghana and finds that users are interested in adopting future schemes, but it depends on cycling infrastructure and policies. Age, education, and bike ownership significantly affect intentions to adopt. This highlights the need for a national cycling policy framework and enhanced transport infrastructure in Ghana.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Engineering, Civil
Nan Zhang, Xiaoguang Yang, Haifeng Guo, Hongzhao Dong, Wanjing Ma
Summary: Model-based traffic state estimation is used to reproduce traffic flow states at signalized intersections. A Bayesian learning framework is developed to learn unknown variables in the models from observed data. The proposed method shows good performance in estimating traffic flow at signalized intersections.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Luoyi Huang, Wanjing Ma, Ling Wang, Kun An
Summary: This paper explores the feasibility of using a reinforcement learning method named PPO (Proximal Policy Optimization) to handle unintended lateral attacks in the intelligent connected vehicle environment and keep the vehicle within the ego lane. Speed-curvature tests were conducted based on the Chinese highway design guide, with discrete speed variants of 120 km/h, 100 km/h, and 80 km/h, and different curvatures ranging from 250 m to 1200 m in increments of 50 m. The tests were carried out in the Open.ai CarRacing-v0 simulation environment with an external racing wheel attached to simulate unintended lateral attacks. The simulation results demonstrate that PPO can effectively handle unintended lateral attacks on standard-designed highways in China, providing potential application in future mass-produced intelligent connected vehicles.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Transportation Science & Technology
Wanjing Ma, Lin Zeng, Kun An
Summary: Flexible buses provide on-demand services based on real-time passenger demand in a cost-effective manner. This study addresses the dynamic bus-routing problem considering stochastic future passenger demand. A two-stage stochastic programming model is formulated to minimize travel time cost and penalty for rejecting requests. The proposed VSC-ALNS algorithm clusters vehicles and passengers based on vector similarity and generates vehicle routes using adaptive large neighbourhood search algorithm.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Zhe Zheng, Kun An, Wanjing Ma
Summary: Traditional optimization methods for lane allocation focus on increasing the intersection capacity or reducing the degree of saturation for approach lanes in a separate stage of traffic design. This paper proposes an evaluation framework based on vehicular trajectory data and an optimization model to improve the lane-level operation efficiency of isolated intersections.
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Tengyu Pang, Chunhui Yu, Wanjing Ma, Ling Wang, Qiheng Lin
Summary: This study proposes intermittent and dynamic priority control approaches for dedicated lanes for connected automated vehicles (CAVs) using lane control signals and vehicle-to-everything (V2X) communication. Numerical studies validate the significant benefits of the proposed control in reducing delays for human-driven vehicles (HVs) and maintaining comparable delays for CAVs compared to the static control approach.
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
JingTing Er, Chunhui Yu, Wanjing Ma
Summary: This article discusses the importance of traffic signal coordination in a traffic control system and proposes a vehicle delay model as well as a method to reduce delay by optimizing the offset. Simulation results demonstrate that the proposed model can significantly reduce delays and queue length compared to other models.
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
(2022)
