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
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
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
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 Sciences
Xinliu Sui, Xiaofei Ye, Tao Wang, Xingchen Yan, Jun Chen, Bin Ran
Summary: The research shows that cruising for parking has a negative impact on traffic congestion and emissions. The closer the intersections and road sections are to the parking lot, the greater the negative effect. After reaching a cruising ratio of 30% or higher, the impact on traffic performance only results in slight deterioration.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Engineering, Civil
Cong Zhao, Jing Cao, Xinyuan Zhang, Yuchuan Du
Summary: This paper proposes a centralized dispatching-for-parking system to optimize parking resource utilization and traffic distribution for connected and automated vehicles (CAVs). Numerical experiments show that the approach improves system performance and alleviates traffic congestion and imbalance between parking supply and demand in downtown areas.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(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
Transportation
Rui Ma, Shenyang Chen, H. Michael Zhang
Summary: This study investigates time-series correlations between macroscopic travel speed and parking garage occupancy using real-time data, and finds that time delay neural network models can effectively forecast macroscopic travel speed.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Industrial
Weizhong Wang, Xinwang Liu, Shuli Liu
Summary: This paper proposes a hybrid HEART framework (H-HEART-F) to address the HEP evaluation problem by integrating Z-numbers and the decision-making trial and evaluation laboratory (DEMATEL) method, considering expert's judgment self-assurance and inter-dependencies between EPCs.
INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS
(2021)
Article
Computer Science, Hardware & Architecture
Hamid Ghobadi Lamouki, Hassan Shokouhandeh, Mehrdad Ahmadi Kamarposhti, Fariba Asghari Matankolaei, Sanjeevikumar Padmanaban, Sun-Kyoung Kang, Ilhami Colak
Summary: This paper proposes a dynamic parameters lightning search algorithm for optimal operation management of EV parking lots and DGs in a microgrid. Simulations show that the algorithm outperforms the PSO algorithm in reducing the microgrid operation cost.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Wenxin Teng, William H. K. Lam, Mei Lam Tam, Wei Ma
Summary: Due to traffic demand fluctuation, travel time and accident risk are stochastic in congested road networks. This study proposes a reliability-based safest-path-finding algorithm that considers both traffic safety and travel time reliability. By maximizing the traffic safety index while ensuring the path travel time satisfies a specified budget and on-time arrival probability, the formulated problem is efficiently solved. The proposed algorithm is validated through a case study using real-world data in Hong Kong.
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
(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.