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
Economics
Ziyuan Gu, Yifan Li, Meead Saberi, Taha H. Rashidi, Zhiyuan Liu
Summary: In this paper, a new trip-based macroscopic model of parking is proposed, considering various sources of user heterogeneity that are key to modeling parking. Numerical results show that the proposed trip-based model yields similar results to those obtained using an accumulation-based approach and microscopic simulation. A simulation-based robust optimization problem of equitable duration-based parking pricing is formulated, and a global optimizer called NoisyDIRECT is proposed to solve it, providing better solutions than other methods.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Economics
Ziyuan Gu, Farshid Safarighouzhdi, Meead Saberi, Taha H. Rashidi
Summary: This paper proposes a new macro-micro approach to modeling parking, discussing key aspects based on simulated evidence and theoretical analysis. Results suggest that multiscale parking occupancy-driven intelligent parking guidance can enhance network efficiency.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Computer Science, Information Systems
Linheng Li, Xinkai Ji, Jing Gan, Xu Qu, Bin Ran
Summary: This paper introduces a novel macroscopic model of heterogeneous traffic flow based on safety potential field theory and validates its effectiveness under different CAV market penetration rates through simulation.
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.
Review
Transportation Science & Technology
Mansour Johari, Mehdi Keyvan-Ekbatani, Ludovic Leclercq, Dong Ngoduy, Hani S. Mahmassani
Summary: Network macroscopic fundamental diagrams and related traffic dynamics models have theoretical support and empirical validation, but their readiness for practical implementation is still uncertain. This paper reviews the history of macroscopic modeling, assesses remaining gaps, and discusses opportunities for further development in theory and applications.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Transportation Science & Technology
Rafegh Aghamohammadi, Jorge A. Laval
Summary: This paper extends the Stochastic Method of Cuts to approximate the Macroscopic Fundamental Diagram of urban networks and uses Maximum Likelihood Estimation method to estimate the model parameters. The results show satisfactory parameter estimates and graphical fits for the studied networks.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(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
Economics
Elhabib Moustaid, Gunnar Flotterod
Summary: This article presents a macroscopic model of pedestrian flows through networks of bidirectional corridors connected by multidirectional intersections. The model defines bidirectional sending and receiving flows based on an existing pedestrian bidirectional fundamental diagram, and utilizes the incremental transfer principle to simulate bidirectional flows across nodes with any number of adjacent links. The solution to the model is consistent with the kinematic wave model in its unidirectional properties.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Green & Sustainable Science & Technology
Mohammad Halakoo, Hao Yang, Harith Abdulsattar
Summary: The transportation sector contributes significantly to greenhouse gas emissions, which contribute to climate change. This paper introduces an improved version of the emission macroscopic fundamental diagram (e-MFD) model that enhances stability and accuracy compared to previous models. The proposed model is evaluated using both synthetic and real-world networks, and it demonstrates higher accuracy than the original e-MFD model. The model uses the standard deviation of density to improve performance, which can be easily measured with existing hardware.
Article
Transportation Science & Technology
Jiawei Zhang, Huaxin Pei, Xuegang (Jeff) Ban, Li Li
Summary: This paper investigates the impact of different cooperative driving strategies on network traffic through simulation experiments, focusing on the passing order. It finds that the passing order has a dominant impact on network traffic efficiency, while the car-following gap has a relatively small influence. These findings provide guidance for research on network-wide cooperative driving and network traffic control.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Nadia Moshahedi, Lina Kattan
Summary: This paper presents a novel a-fair perimeter control (AFPC) scheme for optimizing the allocation of available resources and impacts in a multi-region urban network. The AFPC model considers the traffic dynamics and queuing dynamics at regional borders, and assigns weights dynamically based on regional average speed. The proposed AFPC approach achieves a balanced tradeoff between efficiency and fairness, outperforming other control scenarios in terms of fairness without degrading efficiency.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Physics, Multidisciplinary
Heng Ding, Yu Qian, Xiaoyan Zheng, Haijian Bai, Shiguang Wang, Jingwen Zhou
Summary: This study proposed a DPCPCC method to improve the operation efficiency of the road network by analyzing the relationship between parking generation aggregation index and MFD changes.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Piyapong Suwanno, Rattanaporn Kasemsri, Kaifeng Duan, Atsushi Fukuda
Summary: The study proposed a method to quantify urban flood situations using macroscopic fundamental diagram (MFD) to express traffic conditions in specific ranges. Through MFD analysis, traffic flow-density and density-velocity relationships were identified to improve road-network traffic-flow performance under different flood conditions.
Article
Energy & Fuels
Mahyar Amirgholy, H. Oliver Gao
Summary: The integration of artificial intelligence and wireless communication technologies enables the coordination of CAV platoons at signal-free intersections. This research focuses on enhancing energy efficiency by optimizing macroscopic traffic variables in these networks. The analytical model developed in this study provides insights into the relationship between energy loss and vehicular density in signal-free networks.
Article
Transportation
Milad Ghasri, Taha Rashidi, Joshua Auld
Summary: This study introduces a survey instrument to collect retrospective life-course events, focusing on residential relocation, and utilizes the survey to evaluate determinants of residential mobility. The results show that primary school commencement is a salient determinant of residential relocation, but its impact is significantly higher in Chicago compared to Sydney.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Transportation
Guangming Xu, Yanqin Chen, Wei Liu
Summary: This article proposes a multi-objective bi-level model that jointly optimizes the locations of Park-and-Ride facilities and the Alternate Traffic Restriction (ATR) scheme to address traffic congestion. The proposed model is solved using a non-dominated sorting genetic algorithm and a gradient project algorithm.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Engineering, Civil
Siroos Shahriari, Edward N. Robson, Jason Wang, Vinayak V. Dixit, S. Travis Waller, Taha H. Rashidi
Summary: Traditional transport models often do not account for broader changes in the economy, so there is a need for an integrated CGE and transport model to quickly assess the economic impacts of transport projects and policies.
Article
Green & Sustainable Science & Technology
Kiran Shakeel, Taha H. Rashidi
Summary: This study investigates the impact of attitudinal preferences on active and non-active transport choices for non-work travel activities. The findings suggest that the latent preferences for bicycle and car significantly influence the choice of transportation modes. These results contribute to the development of policies promoting active travel.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Transportation Science & Technology
Ali Najmi, Taha H. Rashidi, Travis Waller
Summary: This paper proposes a generalized multi-modal multi-provider market equilibrium model to evaluate the operation of transport systems. The model includes various modes of transportation such as private vehicles, walking, public transport, ride-sourcing, and ridesharing. The economic behaviors of service providers and a network operator are modeled using optimization problems and user equilibrium conditions, forming a complementarity formulation for the market at equilibrium. Extensive computational experiments demonstrate the model's applicability in handling various market responses to technological improvements, demand changes, emissions restrictions, and cultural barriers.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation Science & Technology
Siroos Shahriari, S. A. Sisson, Taha Rashidi
Summary: Time series analysis is widely used in transport research, but there are few studies that consider both temporal and spatial correlations. This study introduces a Copula time series model that can model correlations between variables through time and space. The model combines an autoregressive moving average-generalised autoregressive conditional heteroskedasticity (ARMA-GARCH) model for temporal correlation and a Copula model for spatial correlation.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation Science & Technology
Qiumin Liu, Rui Jiang, Wei Liu, Ziyou Gao
Summary: This study extends existing stochastic bottleneck model studies by considering a more general distribution of the bottleneck capacity. The results show that the mean travel cost and the mean total travel time may vary with the capacity degradation probability and level. It is also found that the mixed capacity distribution outperforms the binary capacity distribution in evaluating the departure/arrival pattern and mean travel cost.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation
Annesha Enam, Joshua Auld, Taha H. Rashidi
Summary: Contrary to driving alone, public transportation allows for engaging in additional activities while traveling, known as travel-based multitasking. This study compared generic and trip-specific preferences during public transportation using two integrated models. The results showed that the trip-specific data captured more nuances in travel-based multitasking behavior than the generic data. The heterogeneity identified by these models can help transit operators provide suitable facilities along different transit routes.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Economics
Mingyou Ma, Yuhui Chen, Wei Liu, S. Travis Waller
Summary: This paper proposes a bi-level model to explore mode choice and operation decisions in a multi-modal transportation system. The model considers heterogeneity in travelers' value of time and compares deterministic user equilibrium and stochastic user equilibrium. The two operators optimize their decisions based on the equilibrium and aim to maximize profit or minimize system cost. Results show that the SUE model provides a more conservative estimate and that appropriate operation decisions can reduce system cost and increase the ride-sourcing company's profit. Sensitivity analysis suggests dispatching more vehicles to remote areas to improve service quality.
Article
Transportation
Ali Najmi, Travis Waller, Mehrdad Memarpour, Divya Nair, Taha H. Rashidi
Summary: This paper highlights the importance of understanding psychological and cognitive factors in transportation decision-making and behavior. It suggests that economic factors such as cost and performance are not the sole determinants of behavior. The paper aims to develop a conceptual model of psychological and moral values, societal experiences, and service perception, and discuss their implications for individuals' behavior in transportation contexts.
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES
(2023)
Article
Computer Science, Interdisciplinary Applications
Guangming Xu, Jing Guo, Linhuan Zhong, Fangni Zhang, Wei Liu
Summary: This study investigates the potential of implementing express delivery services on the high-speed railway with specified time windows and optimizes the train capacity allocation scheme to maximize profit. It proposes an integer linear programming model and a two-stage stochastic programming model to handle deterministic and stochastic demand cases respectively. The method's effectiveness is demonstrated through applications on small and actual high-speed railway networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Transportation
Ali Najmi, Travis Waller, Wei Liu, Taha H. Rashidi
Summary: This paper proposes a mobility system that combines ridesharing and an Activity Travel Pattern (ATP) generator to enhance participants' mobility experiences. It improves ridesharing systems and explores the relationship between ridesharing and participants' ATPs. Numerical examples show that incorporating ATP-based announcements increases match rates and attractiveness of ridesharing. ATP-based participants play a significant role in finding matches and saving distance. The study highlights the importance of tour gyration in ridesharing system performance and encourages participants with distant activities to join as ATP-based participants.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Review
Engineering, Civil
Zelin Wang, Yunyang Shi, Weiping Tong, Ziyuan Gu, Qixiu Cheng
Summary: This paper presents a systematic review of existing studies on car-following models, with a focus on the behavior of both human-driven vehicles (HDVs) and autonomous vehicles (AVs). The authors classify car-following models based on their applicable background and structure, and identify the advantages and limitations of each model in terms of accuracy and continuity. The paper also discusses model calibration methods, stability analysis, and the impact of complex traffic environments on the car-following process. Recommendations for future research, including mixed traffic flow composed of AVs and HDVs, are provided based on reviewed works and development trends.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Transportation Science & Technology
Bolong Zhou, Wei Liu, Hai Yang
Summary: This study examines the multi-depot location-routing problems of unmanned aerial vehicles (UAVs) for urban monitoring (MDLRP-UM). The proposed solution method combines an iterative algorithm with a tailored adaptive large neighborhood search (ALNS) based heuristic algorithm to solve the master and sub-problems, resulting in an efficient and effective approach for solving MDLRP-UM.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Wenbo Sun, Fangni Zhang, Wei Liu, Qingying He
Summary: This paper investigates the potential of improving overall traffic and energy efficiency by controlling a proportion of connected and autonomous vehicles (CAVs) in a mixed traffic corridor. The proposed control framework shows promising results in numerical studies, demonstrating its effectiveness in improving road throughput.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation Science & Technology
Yue Zhao, Liujiang Kang, Huijun Sun, Jianjun Wu, Nsabimana Buhigiro
Summary: This study proposes a 2-population 3-strategy evolutionary game model to address the issue of subway network operation extension. The analysis reveals that the rule of maximum total fitness ensures the priority of evolutionary equilibrium strategies, and proper adjustment minutes can enhance the effectiveness of operation extension.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Hongtao Hu, Jiao Mob, Lu Zhen
Summary: This study investigates the challenges of daily storage yard management in marine container terminals considering delayed transshipment of containers. A mixed-integer linear programming model is proposed to minimize various costs associated with transportation and yard management. The improved Benders decomposition algorithm is applied to solve the problem effectively and efficiently.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Zhandong Xu, Yiyang Peng, Guoyuan Li, Anthony Chen, Xiaobo Liu
Summary: This paper studied the impact of range anxiety among electric vehicle drivers on traffic assignment. Two types of range-constrained traffic assignment problems were defined based on discrete or continuous distributed range anxiety. Models and algorithms were proposed to solve the two types of problems. Experimental results showed the superiority of the proposed algorithm and revealed that drivers with heightened range anxiety may cause severe congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Chuanjia Li, Maosi Geng, Yong Chen, Zeen Cai, Zheng Zhu, Xiqun (Michael) Chen
Summary: Understanding spatial-temporal stochasticity in shared mobility is crucial, and this study introduces the Bi-STTNP prediction model that provides probabilistic predictions and uncertainty estimations for ride-sourcing demand, outperforming conventional deep learning methods. The model captures the multivariate spatial-temporal Gaussian distribution of demand and offers comprehensive uncertainty representations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Benjamin Coifman, Lizhe Li
Summary: This paper develops a partial trajectory method for aligning views from successive fixed cameras in order to ensure high fidelity with the actual vehicle movements. The method operates on the output of vehicle tracking to provide direct feedback and improve alignment quality. Experimental results show that this method can enhance accuracy and increase the number of vehicles in the dataset.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Mohsen Dastpak, Fausto Errico, Ola Jabali, Federico Malucelli
Summary: This article discusses the problem of an Electric Vehicle (EV) finding the shortest route from an origin to a destination and proposes a problem model that considers the occupancy indicator information of charging stations. A Markov Decision Process formulation is presented to optimize the EV routing and charging policy. A reoptimization algorithm is developed to establish the sequence of charging station visits and charging amounts based on system updates. Results from a comprehensive computational study show that the proposed method significantly reduces waiting times and total trip duration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
