Article
Engineering, Civil
Yao Ma, Junmin Wang
Summary: This study presents a fuel-economical driving strategy for connected and automated vehicles (CAVs) which can significantly reduce fuel consumption by avoiding unnecessary braking and acceleration maneuvers. It also improves fuel performance for human-driven vehicles and has positive impacts on the energy efficiency of the transportation sector.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Industrial
Craig K. Allison, Neville A. Stanton, James M. Fleming, Xingda Yan, Roberto Lot
Summary: Despite the known benefits of eco-driving, its psychological impact has been less studied. Engaging in eco-driving can reduce fuel consumption but has negative effects on journey time and mood. However, it has positive effects on self-esteem, suggesting potential longer term psychological benefits.
APPLIED ERGONOMICS
(2022)
Article
Mathematics
Milos Poliak, Lucia Svabova, Jan Benus, Ebru Demirci
Summary: This study aimed to verify the average reaction time of professional drivers and investigate the impact of age on drivers' response time. Two experiments were conducted using a simulator and eye-tracking technology, with a total of 120 professional drivers participating. The findings provide practical insights for professional drivers and are valuable for traffic planning and modeling.
Article
Green & Sustainable Science & Technology
Juan Francisco Coloma, Marta Garcia, Gonzalo Fernandez, Andres Monzon
Summary: The study analyzed the impact of eco-driving on fuel consumption and greenhouse gas emissions for courier deliveries in small cities, finding that eco-driving training does not necessarily lead to more sustainable driving for professional drivers under pressure, but there is a trend of fuel savings when using more efficient routes.
Article
Environmental Studies
Daniel Ruben Pinchasik, Inger Beate Hovi, Eirill Bo, Christian S. Mjosund
Summary: The study in Norway shows that eco-driving interventions can effectively reduce fuel consumption for truck drivers, with persistent effects. Important factors influencing eco-driving include learning curve, weather conditions, and monthly follow-ups. Even drivers in the control group, without any interventions, showed significant fuel savings.
ENERGY RESEARCH & SOCIAL SCIENCE
(2021)
Article
Green & Sustainable Science & Technology
Triluck Kusalaphirom, Thaned Satiennam, Wichuda Satiennam, Atthapol Seedam
Summary: This research focuses on developing a real-world eco-driving cycle for motorcycles to reduce fuel consumption and CO2 emissions, using onboard measuring equipment to collect real-world data and analyzing it to show the benefits of the eco-driving cycle compared to non-eco-driving cycles.
Article
Engineering, Electrical & Electronic
O. Mata-Carballeira, I. del Campo, E. Asua
Summary: New challenges in transport systems are emerging with the advancement of autonomous cars, raising concerns about ride comfort and pollution issues. A self-organised map-based solution is proposed to assess ride comfort features of individuals based on their driving style, aiming to improve both ride comfort evaluation parameters and greenhouse-gas emissions.
IET INTELLIGENT TRANSPORT SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Xiaowen Wang, Xiaoyun Feng, Pengfei Sun, Qingyuan Wang
Summary: A train operation optimization method based on eco-driving and timetabling is proposed in this paper. By jointly optimizing the speed curve and timetable, considering both energy consumption and passenger consuming time, the method aims to reduce energy consumption and passenger consuming time in urban railway systems.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Article
Engineering, Civil
Hao Yang, Fawaz Almutairi, Hesham Rakha
Summary: The study focuses on an eco-driving system that optimizes vehicle fuel consumption while traversing consecutive signalized intersections. By implementing the system in large networks and conducting a comprehensive analysis of various variables, optimal demand levels and traffic signal spacings were identified to maximize the algorithm's effectiveness.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Environmental Studies
Weichang Yuan, Christopher Frey, Tongchuan Wei
Summary: Eco-driving has the potential to reduce fuel consumption and emissions for light-duty gasoline vehicles. This study quantifies the potential reduction of fuel consumption and emission rates at the route and segment level through eco-driving. The results show that eco-driving can reduce fuel consumption and emission rates by 6-40% compared to average rates. Moreover, eco-driving typically reduces air emissions and may also reduce segment-level fuel consumption and emission rates.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Engineering, Civil
James Fleming, Xingda Yan, Roberto Lot
Summary: This paper introduces a methodology to account for driver preferences in eco-driving optimal control problems, aiming to minimize vehicle energy losses. By combining with a model of fuel or energy consumption, it can provide an adjustable trade-off between satisfying those preferences and minimizing energy losses.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Nan Xu, Xiaohan Li, Fenglai Yue, Yifan Jia, Qiao Liu, Di Zhao
Summary: Eco-driving can reduce vehicle energy consumption and carbon dioxide emissions, but its effectiveness diminishes over time, requiring continuous feedback for drivers. This study proposes a quantitative evaluation method for eco-driving that considers traffic conditions, ambient temperature, and passenger load on battery electric buses. By analyzing actual operation data of 19 buses, control groups are established based on traffic conditions and temperature, with reference energy consumption obtained. A passenger load conversion factor is also introduced to measure the impact of passenger load on energy consumption. By incorporating these factors, a fair eco-driving evaluation method is constructed, ensuring efficient drivers are not penalized for poor driving conditions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Nathalie Touratier-Muller, Eduardo Ortas
Summary: This study examines the responses of French transport services’ buyers to environmental initiatives and reveals the voluntary participation of companies in reducing CO2 emissions in their freight operations. It highlights the importance of transparent tools and standard methods for measuring freight CO2 emissions to support sustainable freight endeavors.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Mechanical
Jian Chen, Lijun Qian, Liang Xuan, Chen Chen
Summary: This paper proposes a real-time eco-driving strategy based on connected vehicle technologies, aiming to improve traffic and fuel efficiency by considering human driver error. By establishing a human driver error estimation model and utilizing signal phase and timing information, vehicle state information, and estimated human driver errors, a constrained nonlinear optimal control problem is solved to calculate the optimal advisory speed of each vehicle. Simulation studies and real-vehicle experiments verify the performance of the proposed strategy.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Transportation Science & Technology
Pengyuan Sun, Daisik Nam, R. Jayakrishnan, Wenlong Jin
Summary: This paper proposes an eco-driving algorithm based on connected vehicle technologies to improve the efficiency of traffic signals at signalized intersections. By adjusting vehicle speeds and signal timings, the algorithm can increase throughput and reduce fuel consumption, responding to real-time traffic conditions.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Food Science & Technology
David Mastrascusa, Patricia Vazquez-Villegas, Jose Ignacio Huertas, Esther Perez-Carrillo, Alejandro J. Garcia-Cuellar, Roberto Nevarez
Summary: Researchers explored the use of various technologies in the pizza industry and found that incorporating infrared technology can reduce cooking time by 50%, while reducing energy consumption by 27% and CO2 emissions by 27.1%, maintaining the quality properties of the pizza.
JOURNAL OF FOOD PROCESSING AND PRESERVATION
(2021)
Article
Engineering, Industrial
Andres Munoz-Villamizar, Josue C. Velazquez-Martinez, Christopher Mejia-Argueta, Karla Gamez-Perez
Summary: The growth of e-commerce has led to an increase in home deliveries in retail operations, with the use of optimization models to reduce routing distance being a popular approach. Recently, understanding customer purchasing behavior has become important in improving supply chain effectiveness. Extending delivery time slots can lead to significant savings in total distance, costs, and fuel consumption or CO2 emissions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Jose I. Huertas, Javier E. Aguirre, Omar D. Lopez Mejia, Cristian H. Lopez
Summary: The study quantified the effects of using solid barriers on the dispersion of air pollutants emitted from traffic on roads over flat areas, aiming to identify the geometry that maximizes the mitigation effect of air pollution at the lowest cost.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Studies
Luis F. Quirama, Michael Giraldo, Jose I. Huertas, Juan E. Tibaquira, Daniel Cordero-Moreno
Summary: This study identified the characteristic parameters that must be included in the micro-trips method to construct driving cycles that accurately represent local driving patterns, based on analysis of energy consumption, speed, and emissions data from a vehicle fleet. The results showed that mean speed, percentage of idling time, and standard deviation of acceleration are crucial for evaluating vehicle energy consumption and emissions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Edgar Gutierrez-Franco, Christopher Mejia-Argueta, Luis Rabelo
Summary: This study proposes a data- and model-driven framework for decision making in urban distribution, addressing challenges in last-mile operations. The framework integrates various techniques, focuses on urban characteristics, and aims to enhance resource utilization efficiency.
Review
Chemistry, Multidisciplinary
Mauricio A. Ramirez-Moreno, Sajjad Keshtkar, Diego A. Padilla-Reyes, Edrick Ramos-Lopez, Moises Garcia-Martinez, Monica C. Hernandez-Luna, Antonio E. Mogro, Jurgen Mahlknecht, Jose Ignacio Huertas, Rodrigo E. Peimbert-Garcia, Ricardo A. Ramirez-Mendoza, Agostino M. Mangini, Michele Roccotelli, Blas L. Perez-Henriquez, Subhas C. Mukhopadhyay, Jorge de Jesus Lozoya-Santos
Summary: Experts predict that 85% of the world's population will live in cities by 2050, leading to a push towards smart cities; sensors play a crucial role in gathering real-time information from cities, citizens, and communication networks, categorized into energy, health, mobility, security, water, and waste management groups; transitioning to smart cities presents both opportunities and challenges, with an emphasis on improving quality of life through new sensing capabilities and digitization developments.
APPLIED SCIENCES-BASEL
(2021)
Article
Management
Andrea Stefano Patrucco, Liliana Rivera, Christopher Mejia-Argueta, Yossi Sheffi
Summary: The study found that a broad professional network of relationships contributes to increasing the skills and competencies of SC professionals, which impact job satisfaction and SC performance. Investing in skilled human talent is valuable for knowledge acquisition, utilization, and SC competitiveness. Companies benefit from stronger SC outcomes by investing more in training their SC employees.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2022)
Article
Management
Jairo R. Montoya-Torres, Andres Munoz-Villamizar, Christopher Mejia-Argueta
Summary: This paper provides a comprehensive analysis of the impact of the COVID-19 outbreak on supply chains through a thorough review of peer-reviewed papers published in 2020. It establishes a framework based on recent literature to address major disruptions in supply chain management and highlights areas for further research and strategies to promote awareness among supply chain stakeholders.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Manufacturing
A. E. Mogro, J. I. Huertas
Summary: The study found that the impact of air conditioning on vehicle fuel consumption depends on vehicle speed, with specific fuel consumption due to A/C peaking at low speeds and decreasing as speed increases. It is suggested to report A/C added fuel consumption using the fuel consumption rate metric to reduce the interference of speed on the actual effect. Additionally, the study found that the A/C added load to the engine forces it to operate in regions of better efficiencies.
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM
(2021)
Article
Energy & Fuels
Jose Huertas, Oscar Serrano-Guevara, Jenny Diaz-Ramirez, Daniel Prato, Lina Tabares
Summary: Fleet managers find that fuel consumption constitutes a significant portion of operating costs for vehicle fleets, leading transport companies to employ telematics services to track units and monitor fuel usage. This information is utilized to identify events that contribute to excessive fuel consumption and inform managers of the need for maintenance. The research proposed the use of this data to determine fuel consumption on specific roads, considering factors such as altitude, road grade, and vehicle age. The study conducted in Colombia's main logistic corridor demonstrated a strong correlation between actual and estimated fuel consumption, highlighting the potential benefits of utilizing this information for cost estimation, emission control, and determining areas with high fuel consumption. Additionally, the analysis found that altitude has a negligible effect on fuel consumption.
Article
Computer Science, Interdisciplinary Applications
Jenny Diaz-Ramirez, Carlos Mario Leal-Garza, Carlos Gomez-Acosta
Summary: One of the critical actions during the New Normalcy after COVID-19 lockdowns is the safe return to schools and workplaces. This study addresses the issues of adapting transportation services in a university context to meet new requirements and proposes an integrated transport solution to optimize social interests.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
David Ernesto Salinas-Navarro, Christopher Mejia-Argueta, Luis Montesinos, Ericka Z. Rodriguez-Calvo
Summary: This work examines sustainability-related learning experiences in the discipline of supply chain management in higher education. Through a case study, it demonstrates the application of an actionable framework in an undergraduate course, leading to positive learning outcomes. This work is significant for preparing future professionals and decision-makers.
Article
Environmental Studies
Jenny Diaz-Ramirez, Sebastian Zazueta-Nassif, Roberto Galarza-Tamez, Daniel Prato-Sanchez, Jose I. Huertas
Summary: The massive incorporation of light electric freight vehicles (LEFV) in large Latin American cities has been identified as a cleaner and more effective alternative for logistics operations. By using a routing optimization model, this paper evaluated the reduction in operational cost and GHG emissions achieved by replacing fuel-based cargo trucks or motorcycles with LEFV (e-trikes or e-bikes) in the last mile distribution. The results showed that using LEFV could reduce operational cost by over 50% and GHG emissions by over 95% in a commercial area in Bogota, considering parcel delivery and dry chain operations. These significant reductions are attributed to the synergistic effect of switching to electricity and reducing energy consumption of vehicles.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
David Hidalgo-Carvajal, Edgar Gutierrez-Franco, Christopher Mejia-Argueta, Helen Suntura-Escobar
Summary: Packaging plays a vital role in ensuring safe delivery, standardization, and serving as a selling tool along the supply chain. However, it also presents economic and environmental costs. This study investigates the impact of nanostores on the return of cardboard packaging and the willingness of shopkeepers to support a closed-loop supply chain system. The findings suggest that certain strategies can increase the returnability rate of packaging, and thicker cardboard packaging promotes reuse and recycling rates. Startups are advised to bridge the gap, while the government should develop supportive regulations.
Review
Business
Roberto Salazar-Reyna, Fernando Gonzalez-Aleu, Edgar M. A. Granda-Gutierrez, Jenny Diaz-Ramirez, Jose Arturo Garza-Reyes, Anil Kumar
Summary: The purpose of this paper is to assess and synthesize the literature on the application of data analytics, big data, data mining and machine learning to healthcare engineering systems. A systematic literature review was conducted to obtain relevant papers, and the findings indicate a growing field with new research areas and applications. Social network analysis was used to identify main authors and collaboration groups, providing insights for researchers with common interests in the field.
MANAGEMENT DECISION
(2022)
