Article
Multidisciplinary Sciences
Giacomo Dalla Chiara, Klaas Fiete Krutein, Andisheh Ranjbari, Anne Goodchild
Summary: Delivery vehicle drivers face challenges in finding parking space. Intelligent parking systems can reduce cruising time and distance.
SCIENTIFIC REPORTS
(2022)
Article
Transportation Science & Technology
Tara Radvand, Sina Bahrami, Yafeng Yin, Ken Laberteaux
Summary: This study investigates dynamic parking management in the era of driving automation, proposing a mathematical model to address AVs parking choice and traffic congestion issues, and exploring the optimization strategies of time-based dynamic tolling and parking provision.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Jing Gao, Sen Li, Hai Yang
Summary: This paper proposes an integrated business model that combines shared parking services with ride-sourcing platforms to reduce cruising traffic. Through economic equilibrium modeling and numerical studies, it demonstrates that the integration of parking and ride services can lead to higher profits, improved driver and passenger benefits, and reduced road congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Engineering, Civil
Sajjad Shafiei, Ziyuan Gu, Hanna Grzybowska, Chen Cai
Summary: The advent of autonomous vehicles is expected to bring new mobility experiences for travelers, such as the ability to self-park. This study investigates the dynamics of travelers shifting to private-owned autonomous vehicles and its negative impact on road traffic congestion. A distance-based pricing scheme is also integrated into the modeling framework to examine its effects on mode choice and traffic network performance. The results show that the distance-based pricing scheme can effectively limit the usage of autonomous vehicles and reduce traffic congestion, particularly in urban centers and peripheral suburbs.
Article
Transportation Science & Technology
Cong Zhao, Feixiong Liao, Xinghua Li, Yuchuan Du
Summary: The spatio-temporal imbalance of parking demand and supply leads to cruising-for-parking traffic of conventional vehicles. Autonomous vehicles can mitigate parking shortage by self-relocating, but their uninformed floating trips may worsen congestion. A centralized parking dispatch method is proposed to optimize AV distribution and regional route guidance, showing effective reduction of cruising-for-parking traffic and improved network performance under various conditions.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Environmental Studies
Emmanouil Barmpounakis, Marti Montesinos-Ferrer, Eric J. Gonzales, Nikolas Geroliminis
Summary: This study focuses on analyzing vehicle emissions in urban areas, exploring the relationships between emissions and congestion patterns. By using empirical data, the research extends the macroscopic fundamental diagram (MFD) to emissions-MFD, and studies the spatiotemporal distribution of emissions in urban areas.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
P. Ajay, B. Nagaraj, Branesh Madhavan Pillai, Jackrit Suthakorn, M. Bradha
Summary: This article introduces several smart traffic management systems developed through IoT technology to help reduce traffic congestion and address issues caused by a large number of vehicles, including increased consumption of fossil fuels, pollution, accidents, and time wastage.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Environmental Studies
Daniel Rodriguez-Rey, Marc Guevara, Ma Paz Linares, Josep Casanovas, Juan Salmeron, Albert Soret, Oriol Jorba, Carles Tena, Carlos Perez Garcia-Pando
Summary: The study presents a macroscopic traffic and emission modelling system tailored to the Barcelona metropolitan area, with a focus on estimating road transport emissions and conducting sensitivity analysis. The system exhibits high sensitivity to spatially-resolved vehicle fleet composition inputs, meteorological effects on diesel engines, and non-exhaust sources, indicating the impact of these factors on emissions levels. The comparison with a microscopic approach shows increasing discrepancies in emissions levels with congestion levels, highlighting the importance of considering these factors in evaluating urban emissions and air quality.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Economics
Jos van Ommeren, Michael McIvor, Ismir Mulalic, Eren Inci
Summary: This paper introduces a novel methodology to estimate the marginal external cruising time (and thus cost) across time and space, which is easier to implement, requires less data, estimates the whole distribution rather than the average, and does not require parking to be near full occupancy. By applying this methodology to Melbourne, rich policy insights are generated.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Engineering, Civil
Runhua Ivan Xiao, Miguel Jaller
Summary: This paper analyzes the factors influencing average cruising time related to parking search using empirical data and proposes a framework to predict grid-based ACT and estimate average emission metrics. The study finds that residential area, retail area, accommodation, and food services employees are the most significant factors affecting ACT, and temporary pickups/drop-offs and commercial delivery are also important sources of parking search.
Article
Economics
Francis Ostermeijer, Hans Koster, Leonardo Nunes, Jos van Ommeren
Summary: The study examines the impact of a citywide parking policy in Amsterdam, showing a significant decrease in on-street parking demand as a result of increased parking prices. The overall reduction in parking demand leads to a 2% - 3% reduction in traffic, with a more pronounced effect during the evening peak.
JOURNAL OF URBAN ECONOMICS
(2022)
Article
Transportation
Manuel Jakob, Monica Menendez
Summary: This paper examines the short-term effects of parking pricing and congestion pricing on traffic congestion and city revenue. A multimodal macroscopic traffic and parking search model is developed and applied to a case study in Zurich, Switzerland. The results indicate that parking pricing combined with a park and ride scheme is a more effective option for improving traffic performance compared to congestion pricing.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2021)
Article
Mathematics
Wei Wang, Yuwei Zhou, Jianbin Liu, Baofeng Sun
Summary: This research reconstructed a cruising for parking model by considering both intrinsic and extrinsic elements, especially gaming factors. Simulation experiments showed that the proposed model effectively improved the average speed, average delay, and on-street cruising vehicles in road traffic flow.
Article
Computer Science, Artificial Intelligence
Asma Ait Ouallane, Assia Bakali, Ayoub Bahnasse, Said Broumi, Mohamed Talea
Summary: This study aims to fill the research gap on the entire urban road traffic management system and provides a comprehensive view of current approaches to handle traffic congestion. It analyzes the three main subsystems of a Traffic Management System, classifies contributions according to the subsystem they belong, and discusses future research orientations and open issues.
INFORMATION FUSION
(2022)
Article
Transportation Science & Technology
Matteo Scandella, Arnob Ghosh, Michelangelo Bin, Thomas Parisini
Summary: This paper introduces a macroscopic traffic model to study the impact of rational driver behavior on urban traffic congestion. By providing information about red light duration to drivers and adjusting traffic light control strategies, congestion in the network and queue lengths at intersections can be reduced.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Computer Science, Interdisciplinary Applications
S. F. A. Batista, Guido Cantelmo, Monica Menendez, Constantinos Antoniou
Summary: This paper develops a heuristic model based on Gaussian processes to determine synthetic sets of trips in urban networks, which is proven to be more robust and computationally efficient than the benchmark method. The model leverages the probabilistic nature of Gaussian processes and iteratively selects origin-destination pairs of nodes in the city network to determine the shortest trip in distance for the selected pairs.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Transportation
Aleksandr Belov, Konstantinos Mattas, Michail Makridis, Monica Menendez, Biagio Ciuffo
Summary: This study investigates the "Price of Anarchy" on a Braess-like network using microscopic simulation and parameters defining driving behavior. The findings suggest that the actual Price of Anarchy may be much higher than predicted in theoretical studies, showcasing some features of real traffic networks and proposing future research directions.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Engineering, Civil
Daniel M. Bramich, Monica Menendez, Lukas Ambuhl
Summary: Understanding the relationship between traffic flow, density, and speed is crucial for traffic modelling and management. This study compares 50 models to determine the best model for empirical fundamental diagrams and finds that the non-parametric Sun model outperforms all others. Future research should focus on exploring more sophisticated noise models to enhance the understanding of empirical fundamental diagrams.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Monica Menendez, Lukas Ambuhl
Summary: This paper reviews the measures implemented by the city of Zurich to achieve sustainable urban transportation and discusses how to integrate these measures to define a sustainable transportation cycle.
Article
Engineering, Civil
Sergio F. A. Batista, Deepak Ingole, Ludovic Leclercq, Monica Menendez
Summary: This study explores traffic control strategies and algorithms based on the Macroscopic Fundamental Diagram (MFD), proposing a method for dynamically adjusting average trip lengths and accumulations to enhance the controller's performance in real applications.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Lisa S. Hamm, Allister Loder, Gabriel Tilg, Monica Menendez, Klaus Bogenberger
Summary: When planning road networks, the effects of inhomogeneous traffic conditions and multimodal interactions are often ignored, leading to an overestimation of network capacities. This paper introduces an empirical approach to analyze network inefficiency and quantify its drivers. The study finds that excess delays are present in all examined data sets and increase with traffic load. It also confirms the influence of traffic signal control, network loading, and multimodality on network inefficiency.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Multidisciplinary Sciences
Jose Balsa-Barreiro, Monica Menendez, Alfredo J. Morales
Summary: This study analyzes the shifting behavior of social space in terms of human interactions and wealth distribution, showing that patterns strongly depend on the observation scale. Therefore, conducting analysis within the appropriate context and understanding the spatial scale are crucial to avoid biased and misleading conclusions.
SCIENTIFIC REPORTS
(2022)
Article
Transportation Science & Technology
Gaby Joe Hannoun, Monica Menendez
Summary: Advancements in vehicular and wireless communication technologies have shaped the future of transportation systems, but emergency medical services (EMS) still face issues with response delays. This research introduces a smart EMS system using modular vehicle technology to improve resource allocation and rescue efficiency. Results show that the system can respond quicker to emergencies, especially in large-scale disaster scenarios.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Environmental Studies
S. F. A. Batista, Gabriel Tilg, Monica Menendez
Summary: This paper explores the potential of aggregated traffic models based on the Macroscopic Fundamental Diagram for building a network-wide monitoring system of travel emissions. The paper discusses how to calibrate the traffic models to estimate total network emissions. It proposes a methodology that utilizes the concept of detour ratio to model real travel distances within the aggregated traffic models and shows that network partitioning significantly influences the estimation of total emissions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Engineering, Civil
Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari, Monica Menendez
Summary: In this paper, a kinematic wave-based Deep Convolutional Neural Network (Deep CNN) is proposed to estimate high-resolution traffic speed fields. Two key approaches are introduced to incorporate kinematic wave theory principles and improve the robustness of existing learning-based estimation methods. The benefits of using anisotropic kernels and the viability of simulation-based training are highlighted through experiments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation Science & Technology
Zaid Saeed Khan, Weili He, Monica Menendez
Summary: The stochastic nature of public transport systems leads to headway variability and bus bunching, which increases operator and passenger costs significantly. Traditional strategies to counter bus bunching suffer from trade-offs and shortcomings. Autonomous modular vehicle (AMV) technology provides an additional level of flexibility in bus dispatching and operations, which can offer significant benefits in mitigating bus bunching compared to conventional buses.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Environmental Sciences
Morteza Maleki, Mohsen Bahrami, Monica Menendez, Jose Balsa-Barreiro
Summary: This paper examines the relationship between individuals' compliance with three major governmental mandates in the United States (mobility restrictions, mask adoption, and vaccine participation) and various societal and healthcare capacity-related variables. The study finds a significant correlation between individuals' educational levels and political preferences with respect to compliance.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Operations Research & Management Science
Gabriel Tilg, Lukas Ambuehl, Sergio F. A. Batista, Monica Menendez, Ludovic Leclercq, Fritz Busch
Summary: A semi-analytical methodology is proposed to estimate the macroscopic fundamental diagram (MFD) for realistic urban networks, which is more accurate than existing methods. This methodology can be applied to networks with irregular topologies and considers different spatial demand patterns.
TRANSPORTATION SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Sergio F. A. Batista, Mostafa Ameli, Monica Menendez
Summary: Macroscopic traffic models are promising tools for designing ecological routing strategies. This study investigates the relationship between path emissions and travel distance or time on regional networks using two toy networks and a real urban network. The findings show a linear relationship between total CO2 emissions and average travel time for internal paths within a single region. However, this relationship is not always true for paths crossing multiple regions, as traffic dynamics also play a significant role in path emissions.
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Hossam M. Abdelghaffar, Moumena Chaqfeh, Nadja Fejzic, Talal Rahwan, Yasir Zaki, Monica Menendez
Summary: This research proposes using autonomous vehicles (AVs) to monitor and encourage cooperative driving behavior in human-driven vehicles. When 50% of drivers cooperate, significant reductions in traffic congestion and delays are observed. Furthermore, a 30% penetration of AVs is sufficient to record up to 78% of cooperative behavior, providing assistance in future interactions.
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)