Article
Computer Science, Artificial Intelligence
Wenlong Zhu, Junting Zhang, Shunqiang Ye, Wanli Xiang
Summary: This paper investigates Braess Paradox under the bi-objective user equilibrium, introducing the definition and occurrence conditions of the paradox. Analytical properties of the bi-objective user equilibrium solutions and the conditions for the occurrence of Braess Paradox are explored on a classical Braess network. The study proves that the occurrence conditions of Braess Paradox are dependent upon link performance parameters and travel demand.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Physics, Multidisciplinary
Stefan Bittihn, Andreas Schadschneider
Summary: The study investigates whether drivers can change the classic Braess' paradox situation through traffic information available in modern traffic networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Aihu Wang, Yuanhua Tang, Yasir Tariq Mohmand, Pei Xu
Summary: This research aims to detect the effects of closing and expanding paradox links in transportation and find effective measures to avoid Braess Paradox. The results show that higher capacity worsens Braess Paradox for monotonic links, even if the link capacity is increased infinitely. However, for non-monotonic links, adjusting the link capacity can avoid Braess Paradox. Expanding road infrastructure does not necessarily lead to a significant improvement in travel efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Industrial
Xi Zhang, Haicheng Tu, Jianbo Guo, Shicong Ma, Zhen Li, Yongxiang Xia, Chi Kong Tse
Summary: This paper studies how to enhance power grid resilience and achieve quick recovery after extreme events by adjusting the operating modes of the grid and reconfiguring its components. A double-loop optimization strategy is proposed, utilizing an interior point method and a genetic algorithm to find the optimal topology for coordinating available resources most effectively.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Mathematical & Computational Biology
Linquan Ma, Yunjian Yin, Lan Liu, Zhi Geng
Summary: This study investigates the concept of individual surrogate paradox to capture treatment effect heterogeneity. It is found that only strong binary surrogates can avoid this paradox without additional assumptions. The proposed novel criteria utilizing sharp bounds aim to exclude the individual surrogate paradox effectively.
Article
Engineering, Industrial
Muhammad Hasan Ashraf, Yuwen Chen, Mehmet G. Yalcin
Summary: Third-party logistics in the U.S. has been declared essential and continues operations amid the pandemic. Demand for e-commerce deliveries has increased due to lockdowns and public preference. Expanding hub capacities may lead to the Braess Paradox. Different layouts are impacted differently, and the study provides insights for improving hub performances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Automation & Control Systems
Julian Barreiro-Gomez
Summary: This study examines the crowd evacuation problem using a stochastic receding-horizon differential game. Two main directions are studied: considering local congestion terms to avoid congestion formation, and considering both local and global congestion terms for crowd aversion during evacuation. The solution to these problems is presented using semi-explicit methods by solving the corresponding Hamilton-Jacobi-Bellman backward Partial Differential Equation (PDE). The study also discusses the evacuation Braess paradox and provides a concrete example. Numerical examples are presented for a case study with multiple rooms and exits, comparing the results of the two stochastic differential-game approaches.
Article
Automation & Control Systems
Mark Jeeninga
Summary: This paper investigates the feasibility of power flow in DC power grids with constant-power loads. The concept of Braess' paradox is introduced and its occurrence in practical power grids is demonstrated. To address this paradox, bounded parametric uncertainties in power lines are considered, and a simple yet conservative condition is provided to ensure feasible power flow under these uncertainties.
SYSTEMS & CONTROL LETTERS
(2022)
Article
Computer Science, Information Systems
Sotirios Dimos, Dimitris Fotakis, Thanasis Lianeas, Kyriakos Sergis
Summary: This research utilizes an approximate version of Caratheodory's theorem to efficiently approximate the best subnetwork on selfish routing instances. The algorithm runs on networks with short paths and provides the first polynomial-time approximation scheme.
INFORMATION PROCESSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Qinfei Long, Junhong Liu, Feng Liu, Yunhe Hou
Summary: To mitigate failure risk, a dynamic thermal rating (DTR) sensor can be placed in transmission lines. This paper proposes a submodular optimization-based DTR placement model that considers Braess paradox. A model based on Markov probability and important sampling weight techniques is utilized to quantify failure risk efficiently. The risk model is then applied to analyze the conditions for Braess paradox and reformulate the risk mitigation model with estimation error. A computationally efficient algorithm is designed to solve this nonmonotone submodular optimization, providing a provable approximation guarantee.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Mauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Summary: This study introduces a new framework to investigate Braess' paradox, by utilizing cooperative games with transferable utility to evaluate the contribution of network resources to overall network performance.
Editorial Material
Hematology
Elise A. Chong, Stephen J. Schuster
Summary: In this study, it is demonstrated that anti-CD19 CAR T cells can multiply in the bloodstream, migrate to the CNS, and effectively target PCNSL, leading to complete remissions in a patient group with historically poor outcomes.
Review
Energy & Fuels
John H. T. Luong, Cang Tran, Di Ton-That
Summary: Lithium-ion batteries have become a major energy storage solution for modern electric vehicles, but there are still many technical challenges to overcome in EVs, such as increasing driving range, reducing charging time, lowering manufacturing and recycling costs, and reducing the demand for metals like lithium.
Editorial Material
Hematology
Monica Casucci, Fabio Ciceri
Summary: The study found that a second infusion of CD19 CAR T cells in patients with B-cell malignancies who relapsed or were refractory to the first infusion resulted in durable responses with low toxicity. The authors also identified actionable pretreatment factors associated with positive outcomes.
Article
Computer Science, Artificial Intelligence
Martin Flusser, Petr Somol
Summary: Despite the variety of anomaly detection techniques available, anomaly detection remains an open problem. The applicability of different anomaly detectors varies depending on the application area and problem settings. In the context of Big Data industrial setting, inference speed is an important issue that can render a highly accurate anomaly detector useless. This paper proposes a solution by training a surrogate neural network based on an auxiliary training set, which approximates the output of the source anomaly detector.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Azadeh Emami, Majid Sarvi, Saeed Asadi Bagloee
SIMULATION MODELLING PRACTICE AND THEORY
(2020)
Article
Environmental Sciences
Mohsen Asadi, Huiqing Guo, Kerry McPhedran
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2020)
Article
Transportation
Zhichao Cao, Avishai (Avi) Ceder, Dewei Li, Silin Zhang
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2020)
Article
Computer Science, Information Systems
Ivana Hartmann Tolic, Emmanuel Karlo Nyarko, Avishai (Avi) Ceder
Article
Transportation Science & Technology
Tao Liu, Avishai (Avi) Ceder
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Engineering, Civil
Chunyan Tang, Avishai Ceder, Ying-En Ge, Na Wu
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Green & Sustainable Science & Technology
G. Asadollahfardi, N. Heidarzadeh, A. Sekhavati, M. Asadi
Summary: This study used dynamic programming approach to reassess water quality monitoring stations in Mond Basin Rivers in Iran, optimizing the stations for irrigation and drinking purposes, with the optimal number predicted to be 12. The majority of retained stations were located in the southern part of the basin, indicating potential differences in river water quality compared to the northern part.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Computer Science, Interdisciplinary Applications
Silin Zhang, Avishai Avi Ceder, Zhichao Cao
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Transportation Science & Technology
Avishai (Avi) Ceder, Yu Jiang
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Engineering, Civil
Tao Liu, Avishai (Avi) Ceder, Andreas Rau
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Environmental Sciences
Mohsen Asadi, Kerry McPhedran
Summary: Seasonal temperature variations in cold regions lead to variable gas emissions from MWTPs, with this study focusing on determining greenhouse gas and odour emission rate estimates from an open-to-air BNR type MWTP in Saskatoon, Canada. Results showed differences in emissions between winter and summer samples, with higher emissions in summer and the aerobic reactor as the dominant source of greenhouse gas emissions in both seasons. Additionally, changes in aeration rates and treatment configurations impacted the emission rate estimates.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Transportation
Iman Taheri Sarteshnizi, Majid Sarvi, Saeed Asadi Bagloee, Neema Nassir
Summary: Multiple pattern analyses of traffic data have been conducted previously, but this study introduces a hybrid method that considers temporal factors to measure the intensity of differences among various temporal factors' data. The proposed method can efficiently process historical data, denoise it with basis splines, reshape it into a 2-D latent space using PCA, and then apply pairwise K-means clustering and DBSCAN for anomaly elimination. By using Adjusted Rand Index matrices, similar patterns of different temporal perspectives can be systematically identified. Real data from Melbourne, Australia were used for multiple analyses, detecting dissimilarities with intensities of up to 80% that cannot be detected using general clustering approaches.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Urban Studies
Saeed Asadi Bagloee, Mitra Heshmati, Hussein Dia, Hadi Ghaderi, Chris Pettit, Mohsen Asadi
Summary: Blockchain technology is expected to become the underlying operating system for future cities, enabling sustainable development and citizen participation. However, there are challenges that need to be overcome for widespread adoption and deployment of this technology.
Review
Environmental Studies
Avishai (Avi) Ceder
Summary: This work reviews potential urban transportation options for the future, emphasizing the need for public transportation modes over private cars. It reflects on possibilities for the future and proposes a visionary approach grounded in realism. The key principle for future mobility in smart cities will be optimizing connectivity for a seamless move, with a shift towards public transport modes expected.
INTERNATIONAL JOURNAL OF URBAN SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Chunyan Tang, Avishai (Avi) Ceder, Ying-En Ge, Tao Liu
Summary: The study proposed a network-based method to optimize multiple operational strategies for public transit to accommodate fluctuating passenger demand. By adjusting vehicle departures, it was found that a combination of operational strategies can reduce total vehicle time and empty-seat time.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2021)
Article
Economics
Valeria Bernardo, Xavier Fageda, Jordi Teixido
Summary: The study finds that flight ticket taxes have a significant impact on low-cost airlines' supply and carbon emissions, resulting in a decrease of 12% in the number of flights and a 14% reduction in carbon emissions. Additionally, the burden of the taxes is higher for passengers paying low fares, affecting avoidable flights more significantly.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Xingxing Fu, Dea van Lierop, Dick Ettema
Summary: This study investigates the relationship between multimodality and perceived transport adequacy and accessibility. The results show that multimodality is burdensome, especially for car-dependent individuals, and leads to lower perceived achievement or accessibility for those with limited access to a car.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Henrik Johansson Rehn, Lars E. Olsson, Margareta Friman
Summary: This paper presents the Framework of RoUtIne Transitions in daily travel (FRUIT), which analyzes the impact of life events on travel behavior changes and identifies the critical phases in this process. By integrating theories and concepts, the framework provides a theoretical basis for interventions aimed at improving sustainable travel. The applicability of FRUIT is illustrated through an empirical case, and the implications for future research and policy are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Peng-Cheng Xu, Qing-Chang Lu, Chi Xie, Taesu Cheong
Summary: This study investigates the resilience evaluation of interdependent networks. A model is developed to quantify the impacts of network interdependency on the resilience of interdependent transit networks, considering interdependency relations, network topology, flow characteristics, and demand distribution. The model is applied to the metro and bus networks of Xi'an, China. Results show that node degree heterogeneity in topology, bidirectional function dependency among networks, and flow matching between networks are important factors influencing network resilience.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jeppe Rich, James Fox
Summary: Many transport models allocate all costs to the car driver without considering the cost sharing among passengers. This paper questions this premise and argues that cost sharing can occur in various forms, which should be properly accounted for in transport models. The empirical evidence from Denmark suggests that not accounting for cost sharing may result in biased cost elasticities and occupancy rates.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jorik Grolle, Barth Donners, Jan Anne Annema, Mark Duinkerken, Oded Cats
Summary: High-speed rail is considered a promising alternative for long-distance travel, but the current state of the European HSR network is poorly connected. This study presents a customized version of network design and frequency setting problem for HSR, and analyzes the performance under various policies and design variables. The results show that considering externalities leads to more extensive networks and mode shifts, but requires high public investments. The importance of network integration and cross-border cooperation is highlighted. The findings aim to contribute to the design of an attractive and competitive European HSR network.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Mounisai Siddartha Middela, Gitakrishnan Ramadurai
Summary: This study addresses the research gaps in understanding the effect of regression models, measurement period, and spatial dependence on Freight Trip Generation (FTG) modeling and freight-related policies. The results show that the spatial Zero-Inflated Negative Binomial (ZINB) model is the best for daily and weekly Freight Trip Production (FTP), while the non-spatial Negative Binomial (NB) model is the best for daily and weekly Freight Trip Attraction (FTA). The study also highlights the importance of considering spatial dependence and using count models with a week as the measurement period.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
