Article
Computer Science, Information Systems
Ammar Hawbani, Xingfu Wang, Ahmed Al-Dubai, Liang Zhao, Omar Busaileh, Ping Liu, Mohammed A. A. Al-Qaness
Summary: This study proposes a solution to the problem of multicriteria multihop routing in vehicular ad hoc networks (VANETs) and introduces the HERO protocol, which shows promising performance in terms of delivery success ratio, delivery delay, and communication overhead.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Economics
Meng Zhang, Nengmin Wang, Zhengwen He, Bin Jiang
Summary: This research presents a bi-objective vehicle routing optimization model for hazmat shipments considering catastrophe avoidance and failed edges. It introduces a 2-stage decision-making process with two different strategies developed for dealing with failed edges after incidents. Both strategies are compared using mathematical analysis, with numerical results reported and managerial insights provided through sensitivity analysis.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Chemistry, Analytical
Bartosz Musznicki, Maciej Piechowiak, Piotr Zwierzykowski
Summary: Epidemics and pandemics impact global mobility trends, while an impending energy crisis will reshape transportation and energy use patterns, particularly in urban areas. This article introduces network modeling based on real-world data and advocates for using diverse open data sources for urban sensor network research.
Article
Engineering, Industrial
Guoqi Li, Gang Pu, Jiaxin Yang, Xinguo Jiang
Summary: This study develops a multidimensional quantitative risk assessment framework for evaluating the risk of hazardous materials (HazMat) vehicles in dense urban areas. Through a case study and the use of simulation and GIS technology, the spatial distribution of different risk levels is visualized.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Computer Science, Information Systems
Omar Sami Oubbati, Abderrahmane Lakas, Pascal Lorenz, Mohammed Atiquzzaman, Abbas Jamalipour
Summary: This study investigates the use of communicating UAVs for real-time monitoring and intervention in urban emergency situations, providing locations and shortest intervention paths. A robust routing scheme is designed to ensure communication stability and energy consumption balance.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Multidisciplinary Sciences
Harsh K. Mistry, Domenico Lombardi
Summary: This study demonstrates how municipalities prone to earthquakes can use catastrophe risk-based bonds to protect their building stock and communities from economic losses and enhance earthquake resilience. The study computes aggregate losses and prices different types of catastrophe bonds to achieve this goal.
SCIENTIFIC REPORTS
(2022)
Review
Geography, Physical
Adele Therias, Azarakhsh Rafiee
Summary: This paper investigates how City Digital Twins (CDTs) can support the development of more resilient urban communities by examining their characteristics and potential roles in enhancing understanding, envisioning the future, and facilitating collaboration between stakeholders. The paper also discusses the technical requirements and challenges of CDT implementation, emphasizing the important role of stakeholders in shaping CDTs that can be successfully integrated into the communities they serve.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Computer Science, Information Systems
Tong Liu, Yuchen Li, Meng Wang, Shuo Shi, Xuemai Gu
Summary: The study proposes an optimized mobile similarity and link transmission quality routing algorithm for vehicular ad-hoc networks to improve system performance by selecting routing nodes and maintaining communication link quality.
Article
Operations Research & Management Science
Fatemeh Zandieh, Seyed Farid Ghannadpour
Summary: Hazardous material transportation is an integral part of the industry with significant financial and health risks. A multi-objective Hazmat routing model with time windows is used to optimize transportation, minimizing both risk and distance. To handle the uncertainty of Hazmat transportation risk, a Z-number fuzzy approach is applied, considering the probability of occurrence and severity. A multi-objective hybrid genetic algorithm is used to solve the proposed model, which is validated using Solomon's problems. The efficiency of the suggested fuzzy problem is further analyzed through a case study of Hazmat distribution in Iran.
RAIRO-OPERATIONS RESEARCH
(2022)
Article
Urban Studies
Gunes Ertan
Summary: Urban mobilizations need both densely connected specialized urban organizations and bridging ties between these local groups to achieve democratic and sustainable governance structures. These bridging ties are crucial for the formation of place-based collective identities, as well as for pushing urban organizations to become agents of meaningful social change at a larger scale.
Article
Mathematics
Joon Yoo
Summary: Vehicular ad hoc networks are composed of self-organizing nodes that communicate using multi-hop wireless links without any infrastructure support. Traditional ad hoc routing protocols use the minimum hop count as their routing metric, but this no longer results in high throughput due to the emergence of multi-rate capable radio interfaces. This paper proposes a high throughput routing scheme called MARV, which searches for high throughput paths using an on-demand route searching algorithm, reducing the routing overhead compared to other multi-rate-aware routing schemes.
Article
Engineering, Electrical & Electronic
Miguel Martinez, Asier Moreno, Ignacio Angulo, Carlos Mateo, Antonio David Masegosa, Asier Perallos, Pablo Frias
Summary: This paper analyzes the impact of electric vehicles on the electrification of urban distribution fleets, and simulates the effects of different distribution models in large cities. It concludes that decentralized operation can avoid network reinforcement, achieve more significant emissions reduction, and reduce costs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Civil
Francesco Giannini, Giuseppe Franze, Francesco Pupo, Giancarlo Fortino
Summary: This paper presents a sustainable routing algorithm for vehicle platoons operating in smart urban networks, utilizing deep reinforcement learning (DRL) and set-theoretic model predictive control (MPC). The algorithm aims to reduce traffic congestion and CO2 emissions, while effectively tracking the assigned path using real-time traffic data. Through the use of SUMO and MATLAB environments, complex operating scenarios are implemented and analyzed, and numerical studies demonstrate the algorithm's ability to significantly mitigate CO2 emissions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Shafiullah Khan, Muhammad Muneer Umar, Chunhua Jin, Shaozhang Xiao, Zeeshan Iqbal, Noha Alnazzawi
Summary: This paper proposes a multi-mode hybrid routing mechanism installed in the IoT network, which can connect multiple IoT networks and achieve optimal efficiency through intercommunication among smart nodes.
Article
Transportation
B. M. Bornay, M. Chen, S. S. Chauhan
Summary: This paper discusses routing regular and dangerous commodities in railway freights transportation using a mixed integer nonlinear programing model. The advantages of using bifurcation of flows on risk-cost tradeoffs and route planning decisions are highlighted, and experiments on hypothetical networks as well as the rail network of the Province of Quebec in Canada are presented and analyzed. Comparisons between different routing decisions associated with the proposed model with bifurcation of material flows provide managerial insights on solving hazmat freight routing problems.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2021)
Review
Management
Sibel A. Alumur, James F. Campbell, Ivan Contreras, Bahar Y. Kara, Vladimir Marianov, Morton E. O'Kelly
Summary: This paper aims to provide insights for better modeling hub location problems, presenting a taxonomy framework, new perspectives, and a summary of the latest solution methods. It also suggests themes for future research to address in order to enhance modeling of hub location problems.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Environmental
Carina Letelier, Carola Blazquez, German Paredes-Belmar
Summary: The current household waste collection system in the commune of Renca in Santiago, Chile is inefficient and costly, leading to negative impacts on the environment and society due to uneven service for citizens. Recently established recyclable waste collection sites have proven to be a more efficient solution, providing better service for a larger number of users within a shorter travel distance.
WASTE MANAGEMENT & RESEARCH
(2022)
Article
Automation & Control Systems
German Paredes-Belmar, Elizabeth Montero, Omar Leonardini
Summary: This study investigates and proposes two approaches to address a raw milk transportation problem based on a real case in a milk company in Chile. The problem involves the collection of milk from dispersed farms in a rural area using a truck fleet. The proposed approaches include a mixed-integer linear programming model, a three-stage mathematical model-based approach, and an iterated local search approach. The performance of these approaches is evaluated using real-world examples, showing potential improvements in transportation efficiency.
Article
Health Care Sciences & Services
Jennifer Mendoza-Alonzo, Jose Zayas-Castro, Armin Luer-Villagra
Summary: This study analyzes the recent Medicare alternative payment models, suggesting that adjusting the pay-for-performance component can impact team profit and revenue for performance, as well as patient severity. The Primary Care First model tends to admit less severe patients than the Comprehensive Primary Care Plus model.
OPERATIONS RESEARCH FOR HEALTH CARE
(2021)
Article
Management
Armin Luer-Villagra, Vladimir Marianov, H. A. Eiselt, Gonzalo Mendez-Vogel
Summary: This paper investigates the decision-making of followers and leaders in the context of retail store location problem, and proposes exact and approximated procedures for solving it. The findings suggest that by strategically selecting locations, the first entrant can increase the total business in the area.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Antonia Ilabaca, German Paredes-Belmar, Pamela P. Alvarez
Summary: This paper introduces, models, and solves a clustered resource allocation and routing problem for humanitarian aid distribution in the event of an earthquake and subsequent tsunami. It presents a method to build clusters and determine efficient vehicle routes for aid distribution, aiming to minimize distribution times. A vulnerability index is added to prioritize aid distribution.
Article
Green & Sustainable Science & Technology
Andres Bronfman, Diego Beneventti G., Pamela P. Alvarez, Samantha Reid, German Paredes-Belmar
Summary: This study aims to address the problem of picking up, stabilizing, and transporting casualties during mass-injury disasters by minimizing the time required for on-site stabilization, prioritizing critical patients. Test results suggest that explicitly considering the on-site stabilization of vital functions of prioritized victims as an objective leads to earlier treatment and stabilization compared to traditional methods.
Article
Management
German Paredes-Belmar, Elizabeth Montero, Armin Luer-Villagra, Vladimir Marianov, Claudio Araya-Sassi
Summary: We introduce a new vehicle routing problem for multi-commodity transportation, inspired by the milk collection case in Chile. We propose a less conservative gradual blending rule to achieve more accurate milk classification, resulting in increased profit. We present a mixed integer linear programming formulation and an Iterated Local Search metaheuristic for problem solving, and demonstrate their effectiveness on standard instances and a real case in Chile.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Gonzalo Mendez-Vogel, Vladimir Marianov, Armin Luer-Villagra, H. A. Eiselt
Summary: This paper addresses the retail store location problem in a duopoly, considering the introduction of random utility customer choice rules based on the Multinomial Logit model. A new Partially Binary Logit rule is proposed for firms with identical attributes but different locations. The results of different rules are compared based on randomly generated instances to analyze the characteristics of captured markets and location patterns.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Gonzalo Mendez-Vogel, Vladimir Marianov, Armin Luer-Villagra
Summary: This study proposes a new customer choice rule based on Nested Logit and efficient solution methods based on Branch and Cut to address the follower competitive facility location problem. The Nested Logit rule captures the correlation among purchases made at different chains, and the proposed solution approach improves the accuracy and computational efficiency in solving similar problems in practice.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
