Article
Computer Science, Interdisciplinary Applications
Guillermo Esquivel-Gonzalez, Gines Leon, Antonio Sedeno-Noda
Summary: This research presents a bi-objective optimization model to address the challenge of meeting new demands within the existing lines of a public transportation network. By utilizing network flow techniques, a polynomial-time algorithm is introduced and incorporated into the decision-making system of a transportation company. The tool has been implemented in a real case scenario, effectively serving a high-demand area.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Zahra Ziaei, Armin Jabbarzadeh
Summary: Carbon emission in transportation research has been widely studied, but research specifically on hazardous material transportation remains limited. This study presents a multi-objective model for locating transfer points and routing in a hazardous material multi-modal network, considering uncertainties and minimizing carbon emission, risk, and cost. The results confirm the effectiveness and robustness of the developed model, showing a reduction in carbon emissions and individuals at risk for each additional dollar spent.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Jian Zhong, Xu Wang, Longxiao Li, Sergio Garcia
Summary: With the rapid development of the courier industry, this paper focuses on minimizing the operation cost and maximum arrival time in the bi-objective express transportation network design problem. A multi-structure parallel design methodology is proposed, and a preference-based multi-objective algorithm is devised to solve the problem. The methodology is verified in a case study and shows effective results.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2023)
Article
Green & Sustainable Science & Technology
Shengdong Nie, Hengkai Li
Summary: Based on social network analysis and dynamic network visualization, this study analyzed the spatial patterns and structural evolution of the Pearl River Delta and surrounding cities, providing new perspectives for the study of intercity linkages and urban networks. The results offer decision support for urban cluster planning.
Article
Environmental Studies
Alexis Pinsonnault-Skvarenina, Mathieu Carrier, Dana-Elena Manolache, Annelies Bockstael, Jean-Pierre Gagn, Tony Leroux
Summary: This study investigated factors explaining annoyance from noise generated by a large road construction project. It found that noise levels explained only a marginal proportion of annoyance, while socio-demographic, psychosocial, and contextual factors played a much larger part in explaining the variance in annoyance. Special consideration should be given to these factors when identifying policy responses for noise generated by major road construction projects.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Weihao Ma, Dongfang Ma, Yijia Ma, Jinfeng Zhang, Dianhai Wang
Summary: This paper develops a ship routing and speed multi-objective optimization model considering ECA regulations to minimize shipping costs and emissions. The model was applied to a case study from Halifax to Brunswick, showing reductions in costs and emissions while providing optimal solutions for different emission levels.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Civil
Zhou Wu, Junjun Wu, Yuguang Chen, Kai Liu, Liang Feng
Summary: This paper proposes multi-objective optimization and predictive control approaches to tackle the bike rebalancing problem in bike-sharing systems, aiming to maximize operational efficiency by considering both equilibrium state and redistribution cost.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Jiankang Zhang, Dong Liu, Sheng Chen, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo
Summary: This article proposes a discrete ε multi-objective genetic algorithm (ε-DMOGA) to optimize the end-to-end latency, end-to-end spectral efficiency (SE), and path expiration time (PET) in aeronautical ad-hoc networks. It incorporates a distance-based adaptive coding and modulation (ACM) scheme and queueing delay into the optimization metric.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Physics, Multidisciplinary
Li Wang, Jun-Chao Ma, Zhi-Qiang Jiang, Wanfeng Yan, Wei-Xing Zhou
Summary: This study examines the highway freight transportation diversity of 338 Chinese cities based on truck transportation probabilities, finding similar results across different models, power-law tails in transportation probabilities, and a correlation between city development level and transportation diversity.
Article
Mechanics
Wenjun Chen, Yongfeng Zheng, Yingjun Wang
Summary: This study proposes a new multi-objective topology optimization method that fills multiple microstructures to design macroscopic structures with lower thermal compliance and higher natural frequency simultaneously. To narrow the gap between the optimized results and the design requirement, a self-selected weight sum method based on fitting functions and the bisection method is proposed. Numerical examples show that multiple materials optimization provides a wider result domain compared to single-phase material situations. The self-selected weight sum method is efficient, enables good connectivity, and is easy to implement.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Industrial
Zhenyu Zhang, Tingting Ji, Hsi-Hsien Wei
Summary: This paper investigates how to optimize the emergency restoration of transportation networks after earthquakes. By conducting inspection and restoration simultaneously and dynamically adjusting inspection routes and restoration schedules, the resilience of the networks can be improved.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Chemistry, Multidisciplinary
Luojun Yang, Cheng Zhang, Xu Wu
Summary: This paper studies the comprehensive optimization model and method of multiple transport tasks and transport modes considering carbon emissions. The results show that the present multi-objective optimization model based on the improved genetic algorithm can adjust multimodal transport plans and reduce carbon dioxide emissions.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Multidisciplinary
Jiexin Wu, Cunlai Pu, Shuxin Ding, Guo Cao, Chengyi Xia, Panos M. M. Pardalos
Summary: In this paper, a multi-objective optimization problem is formulated to address the issues of traffic congestion and transport delay in complex networks. The proposed solution involves maximizing transport capacity and minimizing the average number of hops. A multi-objective evolutionary algorithm called network centrality guided multi-objective particle swarm optimization (NC-MOPSO) is introduced to solve this problem. Simulation experiments demonstrate that the algorithm outperforms five state-of-the-art alternatives on various metrics.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Shuangjiao Lin, Jian Wang
Summary: This study explores the carbon emission reduction effect of transportation structure adjustment in China through optimization and mode shift, with the results showing the largest impact in the western region.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Operations Research & Management Science
David Schmaranzer, Roland Braune, Karl F. Doerner
Summary: The study introduces a simulation-based headway optimization method for complex urban mass rapid transit systems, which combines a two-phase algorithm and multi-objective covariance matrix adaptation evolution strategy, demonstrating superior performance in terms of spread and accuracy compared to other approaches.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Engineering, Civil
Lusanni Acosta-Rodriguez, Valerian Kwigizile, Jun-Seok Oh, Timothy Gates
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Computer Science, Interdisciplinary Applications
Keneth Morgan Kwayu, Valerian Kwigizile, Jiansong Zhang, Jun-Seok Oh
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2020)
Article
Public, Environmental & Occupational Health
Keneth Morgan Kwayu, Valerian Kwigizile, Jun-Seok Oh
TRAFFIC INJURY PREVENTION
(2020)
Article
Engineering, Civil
Md Mehedi Hasan, Jun-Seok Oh
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Public, Environmental & Occupational Health
Md Mehedi Hasan, Jun-Seok Oh, Valerian Kwigizile
Summary: Recent walkability studies have focused on street-level microscopic analysis in North America, while in Asia and Europe, both large and small-scale walkability analysis is emphasized. Advanced images and instrument audit tools have been widely used in addition to traditional physical audit tools for measuring walkability.
JOURNAL OF TRANSPORT & HEALTH
(2021)
Article
Engineering, Civil
Raed Abdullah Hasan, Hafez Irshaid, Fadi Alhomaidat, Sangwoo Lee, Jun-Seok Oh
Summary: Transportation Mode Detection (TMD) is important for planning new transportation projects and improving existing ones. This study aims to develop predictive modes of transportation using smartphone data, smartwatches, and machine learning techniques. The results show that the Random Forest method performs better than other methods in predicting transportation modes.
KSCE JOURNAL OF CIVIL ENGINEERING
(2022)
Review
Transportation
Keneth Morgan Kwayu, Valerian Kwigizile, Jun-Seok Oh
Summary: This study aims to investigate pedestrian crossing behavior at non-intersection areas by analyzing crash data. The results reveal that lighting conditions, pedestrian age, and traffic volume are significant predictors of pedestrian fatalities, and pedestrians wearing dark clothing are more prone to accidents while crossing the road at undesignated areas.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
Article
Ergonomics
Keneth Morgan Kwayu, Valerian Kwigizile, Kevin Lee, Jun-Seok Oh
Summary: This study utilizes crash narratives from a ten-year dataset of Michigan traffic fatal crash narratives to identify prevalent themes and interactions using structural topic modeling and network topology analysis. The centrality and association between topics varied across crash types, with event-related topics consistently central in articulating the crash occurrence. The high classification accuracy of extracted latent themes in classifying crashes by type suggests effective automation of crash typing and consistency checks.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Public, Environmental & Occupational Health
Ahmad Feizi, Shinhye Joo, Valerian Kwigizile, Jun-Seok Oh
JOURNAL OF TRANSPORT & HEALTH
(2020)
Article
Ergonomics
Bandhan Dutta Ayon, Benjamin Ofori-Amoah, Lei Meng, Jun-Seok Oh, Kathleen Baker
ACCIDENT ANALYSIS AND PREVENTION
(2020)
Article
Public, Environmental & Occupational Health
Keneth Morgan Kwayu, Valerian Kwigizile, Jun-Seok Oh
INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION
(2020)
Article
Green & Sustainable Science & Technology
Ahmad Feizi, Jun-Seok Oh, Valerian Kwigizile, Shinhye Joo
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2020)
Article
Ergonomics
Fadi Alhomaidat, Valerian Kwigizile, Jun-Seok Oh, Ron Van Houten
ACCIDENT ANALYSIS AND PREVENTION
(2020)
Article
Public, Environmental & Occupational Health
Raed Abdullah Hasan, Abbas Hadi Abbas, Keneth Morgan Kwayu, Jun-Seok Oh
JOURNAL OF TRANSPORT & HEALTH
(2019)
Article
Public, Environmental & Occupational Health
Richard Atta Boateng, Valerian Kwigizile, John S. Miller, Jun-Seok Oh
JOURNAL OF TRANSPORT & HEALTH
(2019)