Article
Engineering, Multidisciplinary
Haoxiang Xue, Massimiliano Gobbi, Andrea Matta
Summary: Optimizing the suspension system of road vehicles is crucial for improving ride comfort. This study proposes a multi-fidelity surrogate-based optimization framework, which demonstrates good accuracy and high efficiency compared to other methods. It is successfully applied to different types of vehicle suspension optimization problems, showing robustness and efficiency.
OPTIMIZATION AND ENGINEERING
(2023)
Article
Operations Research & Management Science
Carolina Osorio, Bilge Atasoy
Summary: This paper introduces a simulation-based optimization technique for high dimensional toll optimization problems in large-scale road networks. By formulating a novel analytical network model, the proposed approach can efficiently identify good quality solutions and outperforms a general-purpose algorithm by an average of 18%.
TRANSPORTATION SCIENCE
(2021)
Review
Transportation
Kate Hosford, Caislin Firth, Michael Brauer, Meghan Winters
Summary: In this scoping review, the differential transportation and health effects of road pricing policies across population groups and geographic regions were examined. While existing evidence suggests road pricing has mostly net positive effects related to reduction in car trips, air pollution, asthma attacks, and road traffic collisions, further studies are needed to strengthen the evidence base. The findings also indicate potential inequities in the distribution of benefits and burdens across different population groups.
Article
Management
Amir Ajorlou, Ali Jadbabaie
Summary: This paper studies sales-based rebate mechanisms as a tool for implementing price discrimination among buyers with different valuations. The seller charges a fixed price at the time of purchase, contingent on a rebate based on the sales volume. The price and rebate are kept uniform across all buyers, allowing for effective price discrimination. The paper uses game theory and variational optimization to analyze the mechanisms and proposes two easy-to-implement monotone mechanisms that perform well compared to the optimal mechanism.
MANAGEMENT SCIENCE
(2023)
Article
Economics
Suman Sen, Michael B. Charles, Jennifer L. Harrison
Summary: Usage-based pricing has made significant progress in addressing transport challenges, but it may lead to equity issues, especially for disadvantaged commuters. To avoid social costs outweighing benefits, improving the quality of urban transport systems and integrating them with urban form and land use is necessary. Until then, policymakers should consider spatial and/or temporal variability in usage-based road pricing in urban contexts.
Article
Economics
Antonis F. Lentzakis, Ravi Seshadri, Moshe Ben-Akiva
Summary: Congestion pricing is a standard approach to mitigate traffic congestion. The advancement of satellite technology has led to the interest in distance-based congestion pricing schemes, which eliminate the need for fixed infrastructure. Distance-based pricing has the potential to effectively manage traffic congestion.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Engineering, Aerospace
Shenghui Cui, Jiaxin Li, Shifeng Zhang, Xibin Bai, Dongming Sui
Summary: In this paper, a design and optimization method for rocket parameters based on surrogate models and a trajectory simulation system for 3-DOF air-launched rockets were established. The method used Gaussian kernel width determination and adaptive sampling points to achieve efficient and reliable optimization. The optimized launch altitude and target orbit for solid engine rockets were analyzed and verified using 3-DOF trajectory simulation.
Article
Environmental Sciences
Ruochen Sun, Qingyun Duan, Xueli Huo
Summary: Parameter optimization is crucial for accurate environmental model simulations and predictions. The MO-ASMOGS method proposed in this study efficiently constructs a surrogate model of the original model by using both parameter and spatial grid sampling, significantly improving simulation results with only a small portion of total grid cells sampled for a given PFT.
WATER RESOURCES RESEARCH
(2021)
Article
Computer Science, Hardware & Architecture
Chunyan Ling, Way Kuo, Min Xie
Summary: This study reviews the advantages and disadvantages of using surrogate models to streamline reliability-based design optimization (RBDO), as well as discussing the problems that need to be solved.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Mechanics
Qiuwan Du, Tianyuan Liu, Like Yang, Liangliang Li, Di Zhang, Yonghui Xie
Summary: In this paper, a convolutional neural network framework is established based on the deep learning method for airfoil design optimization and performance prediction. The experimental results show that the framework has significant advantages such as good robustness, great convergence, fast computation speed, and high prediction accuracy.
Article
Engineering, Civil
Yifan Chen, Ziyuan Gu, Nan Zheng, Hai L. Vu
Summary: This paper proposes a coordinated dynamic pricing scheme for multiple adjacent areas with overlapping congested periods. The regressing Kriging model is used to estimate the input-output mapping, and simulation-based optimal solutions are sought for the toll design problem. Two types of coordinated pricing schemes are proposed, with the second scheme considering pricing efficiency. Results show that our scheme is more moderate compared to perimeter control, without adding traffic burden.
Article
Engineering, Multidisciplinary
Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta
Summary: Architected materials and metamaterials present a challenging frontier in the control of elastic wave propagation. This research utilizes a machine learning methodology to optimize mechanical metamaterials for desired spectral functionalities. The designed bi-tetrachiral metamaterial shows satisfying broadband low-frequency filtering performances.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Yang Zhang, Hongling Ye, Bowen Li, Qingsheng Yang
Summary: The research optimized the bistable structure by analyzing mechanical performance and surrogate models, selected optimal design variables, established an optimization model, and developed an improved genetic algorithm to solve the optimal model, ultimately achieving a bistable structure with maximum load-bearing capacity.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Mathematics
Qi Zhang, Yizhong Wu, Li Lu
Summary: This study proposes a framework for solving the black-box dynamic co-design and optimization problem in multidisciplinary dynamic systems. By constructing a surrogate model and using specific sampling methods and termination criteria, more accurate and efficient optimization results are achieved.
Article
Computer Science, Interdisciplinary Applications
Kunling Song, Yugang Zhang, Xinchen Zhuang, Xinshui Yu, Bifeng Song
Summary: This paper proposes a new RBDO method that combines adaptive surrogate models and Importance Sampling-based Modified Sequential Optimization for reducing the number of calls to expensive objective and constraint functions. The method involves sequentially selecting samples, constructing Kriging models with high accuracy, and replacing original functions with surrogate models. The efficiency and accuracy of the proposed method are demonstrated through optimization results in various examples.
ENGINEERING WITH COMPUTERS
(2021)
Article
Transportation Science & Technology
Sarah V. Hernandez, Andre Tok, Stephen G. Ritchie
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2016)
Article
Engineering, Civil
Soyoung Iris You, Stephen G. Ritchie
KSCE JOURNAL OF CIVIL ENGINEERING
(2018)
Article
Economics
Zhe Sun, Wen-Long Jin, Stephen G. Ritchie
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2017)
Article
Transportation Science & Technology
Kyung (Kate) Hyun, Andre Tok, Stephen G. Ritchie
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2017)
Article
Engineering, Civil
Kyung (Kate) Hyun, Stephen G. Ritchie
TRANSPORTATION RESEARCH RECORD
(2017)
Article
Engineering, Civil
Andre Tok, Kyung (Kate) Hyun, Sarah Hernandez, Kyungsoo Jeong, Yue (Ethan) Sun, Craig Rindt, Stephen G. Ritchie
TRANSPORTATION RESEARCH RECORD
(2017)
Article
Engineering, Civil
Suman Kumar Mitra, Youngeun Bae, Stephen G. Ritchie
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Engineering, Civil
Yiqiao Li, Andre Y. C. Tok, Stephen G. Ritchie
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Environmental Studies
Daniel Rodriguez-Roman, Stephen G. Ritchie
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2019)
Article
Engineering, Civil
Soyoung Iris You, Stephen G. Ritchie
JOURNAL OF ADVANCED TRANSPORTATION
(2019)
Article
Transportation Science & Technology
Adrian Rey, Wen-Long Jin, Stephen G. Ritchie
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Engineering, Civil
Yiqiao Li, Andre Tok, Stephen G. Ritchie
Summary: The FHWA vehicle classification scheme is essential for transportation needs, but limited spatial coverage of detection sites due to installation and maintenance costs presents a challenge. To address this, a deep neural network model was constructed using single inductive loop signatures, significantly improving performance on truck classes, especially previously overlooked minority classes like Classes 7 and 11.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Ergonomics
Kyung (Kate) Hyun, Kyungsoo Jeong, Andre Tok, Stephen G. Ritchie
ACCIDENT ANALYSIS AND PREVENTION
(2019)
Article
Green & Sustainable Science & Technology
Daniel Rodriguez Roman, Stephen G. Ritchie
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2017)
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)