Article
Engineering, Civil
Felipe Delgado
Summary: This study examines the importance of regularity in buses' operation for providing good quality service. The objective is to minimize the deviation of dispatching intervals by determining ideal headways and assigning buses to specific lines and departure times. The results show that a flexible scheme improves frequency compliance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Xinlian Yu, Alireza Khani, Jingxu Chen, Hongli Xu, Haijun Mao
Summary: This study presents a robust deep reinforcement learning approach for real-time network-wide holding control and evaluates its effectiveness in a simulator. The results show significant achievements in reducing computation time and waiting time, as well as exhibiting better robustness.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Economics
Pengfei Wang, Xuewu Chen, Yue Zheng, Long Cheng, Yinhai Wang, Da Lei
Summary: This paper proposes a novel control policy of providing real-time bus crowding information for passengers to prevent bus bunching. The results show that this policy can reduce operation instability by approximately 20% in terms of bus headway and single-trip time, as well as significantly reduce in-vehicle crowdedness experienced by passengers. The policy is especially effective for bus routes with high passenger demand and shows great application potential in practice.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Transportation Science & Technology
Zahra Ghandeharioun, Anastasios Kouvelas
Summary: Urban mobility is shifting towards more convenient, environmentally friendly, and on-demand services. Capacitated ridesharing is an effective way to reduce traffic congestion and pollution. This study focuses on developing a real-time matching algorithm for on-demand ridesharing. A simulation framework is proposed to optimize the ridesharing assignment algorithm, reducing computational complexity and introducing heuristics. The algorithm demonstrates clear advantages over the current taxi fleet in terms of service rate.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Wensi Wang, Fang Zong, Baozhen Yao
Summary: This article proposes a proactive real-time control method based on data-driven transit demand prediction with multi-source traffic data, aiming to predict possible disturbances and take measures in advance. The bus dispatching time is optimized based on the predicted results to minimize passenger waiting time. Evaluation with real data shows that the control method based on transit demand prediction is suitable for real-time control in the smart transit context.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Environmental Sciences
Abdulrahman Abdulaziz Bin Mahmoud, Ahmad Momeni, Kalyan Ram Piratla
Summary: This study presents a metaheuristic optimization framework for real-time control of water distribution systems (WDSs), with the objective of minimizing energy consumption while maintaining sustainable system conditions and operations. By forecasting future system conditions based on past and prevailing conditions, the proposed framework achieves more efficient control of WDS. The use of shorter operational time steps in real-time control schemes reduces operational costs and helps utilities plan more reliable and sustainable operational schemes.
Article
Engineering, Electrical & Electronic
Jyoti Maheshwari, Shiv Dutt Joshi, Tapan K. Gandhi
Summary: Real-time seizure detection using high spatial frequencies is proposed in this article. By analyzing the eigenvalues of the graph Laplacian, the authors construct a sub-band characteristic response vector and analyze it over time to detect seizure and non-seizure brain states. The proposed approach performs well in real-time automated seizure detection without prior training and is independent of sampling rates.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Yu Su, Hongyu Li, Yi Cui, Shutang You, Yiwei Ma, Jingxin Wang, Yilu Liu
Summary: The decreasing cost of solar photovoltaic generation is leading to its global deployment. However, the replacement of conventional generation with renewable energy sources such as PV is impacting the inertia of the power system, resulting in more dramatic frequency variations.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Cong Chen, Lang Tong
Summary: This study examines pricing storage operations in real-time markets, proposing a scenario-based stochastic rolling-window dispatch model. It is found that uniform pricing mechanisms may require discriminative out-of-the-market uplifts, but the TLMP model incorporates nonuniform shadow prices to eliminate the need for such uplifts. Additionally, truthful bidding incentives are established for price-taking participants under TLMP, with revenue adequacy and uplifts evaluated in numerical simulations.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Transportation Science & Technology
Hoa T. M. Nguyen, Andy H. F. Chow
Summary: This paper presents an adaptive optimization framework for dynamic rail transit network operations using a rollout surrogate-approximate dynamic programming method. The proposed framework reduces passengers' waiting times significantly with reasonable computational time. The results suggest the potential of the proposed optimizer for real-time applications in large-scale rail transit networks.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Computer Science, Artificial Intelligence
Bao Liu, Jinying Yang, Lei Gao, Asef Nazari, Dhananjay Thiruvady
Summary: A heuristic dynamic programming algorithm inspired by regulation mechanisms in the human body, named Bio-HDP, is proposed to improve precision and real-time flow control of multi-tributary river systems. By incorporating control units based on human NEI system, Bio-HDP enhances speed, adaptability, and accuracy of control mechanism, exhibiting timely and accurate control effects.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Transportation
Md Tanvir Ashrafa, Kakan Dey, Anthony Carrola, Xianming Shi
Summary: Transit service accessibility improvement is important, and sharing realtime transit information (RTI) with users can decrease wait time and increase accessibility. This study used field trip GPS data to quantify the reduction of transit stop wait time with RTI sharing. The findings showed an average wait time reduction of three minutes and a 37% increase in network-level stop coverage with RTI use. The study justifies wider use of RTI sharing in urban and rural areas.
JOURNAL OF PUBLIC TRANSPORTATION
(2023)
Article
Biochemical Research Methods
Joan E. Nichols, Sasha R. Azar
Summary: The combined modality allows real-time imaging of mouse lungs at both whole-organ and cellular scales.
Article
Computer Science, Information Systems
Zhanzhong Wang, Shuoqi Wang
Summary: The research proposes a real-time dynamic route optimization model based on predictive control, which uses a unique method to obtain the optimal solution and achieves real-time dynamic route selection by switching among static shortest routes. It has good innovation and practical applications.
Article
Computer Science, Software Engineering
Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
Summary: The paper introduces a deep videorealistic 3D human character model that learns highly realistic shape, motion, and dynamic appearance from multi-view imagery in a weakly supervised manner, without the need for complex physics simulation. By using novel techniques, the model can achieve motion-dependent surface deformations, physically plausible dynamic clothing deformations, and video-realistic surface textures at a much higher level of detail than previous approaches, even in real-time.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)
