Article
Computer Science, Information Systems
Areeya Rubenecia, Myungwhan Choi, Hyo-Hyun Choi
Summary: In this paper, a three-dimensional intersection traffic management platform for small autonomous UAVs in urban airspace is presented. The platform aims to provide safe and systematic management of UAVs, with a scheduling scheme to efficiently utilize the intersection and avoid collisions among UAVs. Simulations show that the scheduling scheme reduces the UAVs' average time in the system by 27%.
Article
Transportation
Farzaneh Azadi, Nikola Mitrovic, Aleksandar Z. Stevanovic
Summary: A concept called CADLARIC was proposed for managing traffic flows in CAV environment, which requires high infrastructure demand. To overcome this, CFLARIC, a more robust concept that offers a full spectrum of lane assignment possibilities, was proposed. Three CFLARIC strategies were tested and proved to outperform traditional control methods in terms of efficiency and safety.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Economics
Mohamad Shatanawi, Anas Alatawneh, Ferenc Meszaros
Summary: The introduction of autonomous vehicles and shared autonomous vehicles is expected to improve network performance and accessibility, but it may also lead to increased vehicle miles traveled. This study investigated the impact of road pricing schemes on network performance and social welfare in different future traffic scenarios. The results showed that the effects of road pricing schemes vary depending on the penetration rates of autonomous vehicles, and implementing dynamic pricing strategies can lead to better outcomes in certain scenarios.
RESEARCH IN TRANSPORTATION ECONOMICS
(2022)
Article
Engineering, Civil
Farzaneh Azadi, Nikola Mitrovic, Aleksandar Stevanovic
Summary: CADLARIC proposes a method to address directionally unrestricted traffic flows in urban environments, but performance may degrade in certain situations. CFLARIC offers more flexible lane assignment possibilities and outperforms other control methods.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Transportation
Behzad Bamdad Mehrabani, Jakob Erdmann, Luca Sgambi, Seyedehsan Seyedabrishami, Maaike Snelder
Summary: This study proposes an open-source solution framework for the multiclass simulation-based Traffic Assignment Problem (TAP) in mixed traffic of Connected and Autonomous Vehicles (CAVs) and Human-Driven Vehicles (HDVs), aiming to better understand the impact of CAVs on mixed traffic flow.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Mohamad Shatanawi, Ferenc Meszaros
Summary: This research investigates the impact of varying the share distribution of autonomous vehicles (AVs) and shared autonomous vehicles (SAVs) on network performance and consumer surplus in Budapest using simulation-based dynamic traffic assignment. The results suggest that the emergence of AVs and SAVs improves overall network performance, particularly with an increasing share distribution of SAVs. Similarly, consumer surplus increases in all future scenarios, especially with an increasing share distribution of AVs.
Article
Engineering, Electrical & Electronic
Jinjian Li, Biao Yin, Yong Fang
Summary: The traffic management system plays a crucial role in improving human living standards. This study proposes a novel cooperative traffic management system based on collection auctions at an isolated unsignalized intersection. Drivers entering the communication zone provide bidding information to the control center, which optimizes the passing sequence to maximize drivers' satisfaction. Simulation experiments demonstrate that the proposed system outperforms existing traffic control systems in terms of computation time, traffic delay, and drivers' satisfaction.
Article
Computer Science, Interdisciplinary Applications
Mariano Gallo
Summary: This paper proposes models and algorithms for estimating traffic flows generated by the centralised management of autonomous vehicles in both exclusive and mixed traffic conditions. The research demonstrates the impact of autonomous vehicles on traffic flows and provides a method for evaluating the inclusion of autonomous vehicles in traffic planning, design or policy interventions.
SIMULATION MODELLING PRACTICE AND THEORY
(2023)
Article
Engineering, Civil
Shian Wang, Aidan Mahlberg, Michael W. Levin
Summary: This article studies the optimal control of automated vehicles at an autonomous intersection. It develops a mathematical model and an optimization problem to maximize traffic throughput and minimize passenger discomfort. The proposed control mechanism is applied to coordinate the movement of AVs at an autonomous intersection without using traffic lights and is validated through numerical experiments. The research is important for the future development of autonomous vehicles.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Xiao Pan, Boli Chen, Stelios Timotheou, Simos A. Evangelou
Summary: This paper addresses the speed planning problem for connected and autonomous vehicles (CAVs) at an unsignalized intersection with consideration of turning maneuvers. It is shown that the underlying optimization problem, subject to safety constraints, can be formulated as two second-order cone programs with convexification and relaxation. The investigation of Pareto optimal solutions highlights the importance of optimizing the trade-off between travel time and energy consumption.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Mingjian Liu, Chao Zheng, Yunhe Zhu
Summary: To address issues in current autonomous intersection control strategies, a vehicle-road cooperative autonomous intersection control strategy is proposed. It reduces vehicle conflict relationships through constructing a conflict relationship graph and solving the complement of its maximum clique. The strategy improves intersection throughput efficiency and reduces average vehicle waiting time, as demonstrated by simulation results that show significant improvement compared to other control strategies.
Review
Computer Science, Information Systems
Mohammed Al-Turki, Nedal T. Ratrout, Syed Masiur Rahman, Khaled J. Assi
Summary: The recent advancement in industrial technology has provided opportunities to address stochastic driving behavior of humans through autonomous vehicles (AVs). Researchers have proposed autonomous cooperative-based methods for signalized intersection control under an AV traffic environment. However, controlling traffic in a mixed environment with AVs and regular vehicles is challenging and requires comprehensive evaluation of different factors and constraints. The study suggests that adaptive traffic signal control can effectively optimize signal plans for AV traffic environments, but the utilization of artificial intelligence approaches, such as reinforcement learning, should be considered for better utilization of improved AV characteristics.
Article
Computer Science, Information Systems
Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Jianzhong Qi, Kotagiri Ramamohanarao
Summary: One common cause of traffic congestion is the concentration of intersecting vehicle routes. The development of connected autonomous vehicles offers the opportunity to address this issue by coordinating vehicle routes globally.
Article
Transportation
Shun Su, Emmanouil Chaniotakis, Santhanakrishnan Narayanan, Hai Jiang, Constantinos Antoniou
Summary: This paper investigates the optimization of Reservation-based Autonomous Car Sharing (RACS) systems, aiming at minimizing the total vehicle travel time and customer waiting time. The proposed solution algorithms are tested in two different networks of varying complexity, and the performance of the algorithms is evaluated.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2022)
Article
Engineering, Civil
Shian Wang, Raphael Stern, Michael W. Levin
Summary: This article focuses on smoothing unstable traffic flow by controlling autonomous vehicles (AVs), aiming to minimize vehicle speed perturbation. A dynamic model for mixed traffic flow with both human-driven vehicles (HVs) and AVs is developed, and an optimal control problem is formulated based on Pontryagin's minimum principle to determine the optimal AV control policy. Numerical results demonstrate the effectiveness of the proposed approach in traffic smoothing and improvement on vehicle fuel economy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Management
David Rey, Michael W. Levin, Vinayak V. Dixit
Summary: The study introduces novel online mechanisms for traffic intersection auctions where users bid for priority service. Two Markov chain models are proposed to determine the expected waiting time of participants in the auction, along with a mechanism to calculate incentive-compatible payments in the dynamic sense, maximizing social welfare in the long run. Findings suggest that the proposed online mechanisms are incentive-compatible in the dynamic sense, in contrast to static incentive-compatible mechanisms that may lead to misreporting by users.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Multidisciplinary Sciences
Michael W. Levin, Mingfeng Shang, Raphael Stern
Summary: The novel coronavirus, first identified in China, quickly became a global pandemic. Short-term travel associated with driving is predicted to significantly contribute to the spread of COVID-19. Studies suggest that reducing intrastate travel could help contain the virus spread and prevent a substantial increase in cases.
Article
Transportation Science & Technology
Shian Wang, Michael W. Levin, Ryan James Caverly
Summary: This paper introduces a continuous-time stochastic dynamic model for the optimal parking management of connected autonomous vehicles in a given area with multiple parking lots. By regulating parking rates, the total demand for parking can be distributed among a set of parking lots to maintain the availability of each parking garage.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Transportation
Di Kang, Zhexian Li, Michael W. Levin
Summary: This paper investigates the safety buffers needed between intersecting vehicles under Autonomous Intersection Management (AIM) by optimizing vehicle trajectories and considering reaction times. The tradeoff between low reaction times (more false positives) and high reaction times (greater safety buffer) is analyzed through sensitivity analyses.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
Article
Engineering, Civil
Shian Wang, Raphael Stern, Michael W. Levin
Summary: This article focuses on smoothing unstable traffic flow by controlling autonomous vehicles (AVs), aiming to minimize vehicle speed perturbation. A dynamic model for mixed traffic flow with both human-driven vehicles (HVs) and AVs is developed, and an optimal control problem is formulated based on Pontryagin's minimum principle to determine the optimal AV control policy. Numerical results demonstrate the effectiveness of the proposed approach in traffic smoothing and improvement on vehicle fuel economy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation Science & Technology
Te Xu, Simanta Barman, Michael W. Levin, Rongsheng Chen, Tianyi Li
Summary: This paper proposes a novel max-pressure signal control method that considers transit signal priority to achieve maximum stability for private vehicles and reliable transit service. The method, validated through simulations, shows promising results in reducing travel time.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Environmental Studies
D. Kang, F. Hu, M. W. Levin
Summary: This study examines the impacts of induced AV trips on the transportation network and proposes a solution algorithm. Test results demonstrate that the use of AVs increases average travel time and allows for the repurposing of parking spaces.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Engineering, Civil
Simanta Barman, Michael W. Levin
Summary: This study examines the performance of different variations of MP signal timing policies in realistic scenarios and finds that MP control strategies generally outperform current signal control. The findings suggest that most of the claimed performance benefits of MP policies can still be achieved in real-life traffic conditions.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Shian Wang, Aidan Mahlberg, Michael W. Levin
Summary: This article studies the optimal control of automated vehicles at an autonomous intersection. It develops a mathematical model and an optimization problem to maximize traffic throughput and minimize passenger discomfort. The proposed control mechanism is applied to coordinate the movement of AVs at an autonomous intersection without using traffic lights and is validated through numerical experiments. The research is important for the future development of autonomous vehicles.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Economics
Michael W. Levin
Summary: The maximum demand that can be served by shared autonomous vehicles (SAVs) depends on network characteristics, travel demand, and dispatch policy. This study provides equations for describing the maximum set of demands that can be served and presents a dispatch policy that achieves the predicted level of passenger throughput. The stability of the network is analyzed using a Markov chain queueing model and Lyapunov drift.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Transportation Science & Technology
Shian Wang, Zhexian Li, Michael W. Levin
Summary: This study develops a continuous-time dynamical model based on the Lotka-Volterra equations to capture the temporal evolution of market shares between autonomous vehicles (AVs) and legacy vehicles (LVs). The model incorporates a discrete choice model to represent the likelihood of choosing AVs or LVs. An optimal control problem is formulated to determine the optimal AV integration policy, considering subsidies and infrastructure investment. Numerical results demonstrate the effectiveness and robustness of the proposed approach, and a cost-benefit analysis evaluates the desirability of AV integration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Shian Wang, Mingfeng Shang, Michael W. Levin, Raphael Stern
Summary: Stop-and-go waves caused by unstable traffic can be reduced by synthesizing feedback controllers for autonomous vehicles (AVs) to smooth nonlinear mixed traffic flow. By leveraging feedback control theory, AVs can closely track a virtual speed profile, reducing traffic waves. The proposed approach includes a class of effective additive AV controllers and sufficient conditions for car-following safety and mixed traffic string stability. The approach is illustrated with a theoretical intelligent driver model (IDM) and commercially available adaptive cruise control (ACC) vehicles, showing its effectiveness and robustness in simulation.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation Science & Technology
Simanta Barman, Michael W. Levin
Summary: Max-pressure (MP) control is proven to maximize network throughput or stabilize the network. This paper proves that even with a limited deployment, MP control can stabilize a network within feasible demand. An optimization formulation is presented to find the optimal intersections to install MP control given a limited budget. A greedy efficient algorithm is also presented to solve the optimization problem. Simulation results show that limited deployment of MP control outperforms random deployment in terms of servable stable demand.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Xiang Zhang, Wei Liu, Michael Levin, S. Travis Waller
Summary: This study investigates the morning commuting and parking patterns of autonomous vehicles (AVs) under different spatial road capacity allocation schemes. The study analyzes equilibrium departure/arrival and parking patterns for AVs subject to spatial road capacity allocation. The study also examines optimal capacity allocation strategies under both user equilibrium and system optimum AV traffic patterns to minimize the total system travel cost.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Review
Engineering, Civil
Michael W. Levin
Summary: Max-pressure control is a mathematically proven method for signal timing that improves network throughput. It has evolved from a simple store-and-forward queueing model to include practical aspects and adapt to local queues and network demand. Numerical results from calibrated microsimulation models consistently show that max-pressure control outperforms existing methods, and researchers have started experimenting with it on real roads. This review paper provides a summary of the mathematical approach, methodological improvements, and numerical results for researchers and practitioners interested in this state-of-the-art signal timing method.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Economics
Valeria Bernardo, Xavier Fageda, Jordi Teixido
Summary: The study finds that flight ticket taxes have a significant impact on low-cost airlines' supply and carbon emissions, resulting in a decrease of 12% in the number of flights and a 14% reduction in carbon emissions. Additionally, the burden of the taxes is higher for passengers paying low fares, affecting avoidable flights more significantly.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Xingxing Fu, Dea van Lierop, Dick Ettema
Summary: This study investigates the relationship between multimodality and perceived transport adequacy and accessibility. The results show that multimodality is burdensome, especially for car-dependent individuals, and leads to lower perceived achievement or accessibility for those with limited access to a car.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Henrik Johansson Rehn, Lars E. Olsson, Margareta Friman
Summary: This paper presents the Framework of RoUtIne Transitions in daily travel (FRUIT), which analyzes the impact of life events on travel behavior changes and identifies the critical phases in this process. By integrating theories and concepts, the framework provides a theoretical basis for interventions aimed at improving sustainable travel. The applicability of FRUIT is illustrated through an empirical case, and the implications for future research and policy are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Peng-Cheng Xu, Qing-Chang Lu, Chi Xie, Taesu Cheong
Summary: This study investigates the resilience evaluation of interdependent networks. A model is developed to quantify the impacts of network interdependency on the resilience of interdependent transit networks, considering interdependency relations, network topology, flow characteristics, and demand distribution. The model is applied to the metro and bus networks of Xi'an, China. Results show that node degree heterogeneity in topology, bidirectional function dependency among networks, and flow matching between networks are important factors influencing network resilience.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jeppe Rich, James Fox
Summary: Many transport models allocate all costs to the car driver without considering the cost sharing among passengers. This paper questions this premise and argues that cost sharing can occur in various forms, which should be properly accounted for in transport models. The empirical evidence from Denmark suggests that not accounting for cost sharing may result in biased cost elasticities and occupancy rates.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jorik Grolle, Barth Donners, Jan Anne Annema, Mark Duinkerken, Oded Cats
Summary: High-speed rail is considered a promising alternative for long-distance travel, but the current state of the European HSR network is poorly connected. This study presents a customized version of network design and frequency setting problem for HSR, and analyzes the performance under various policies and design variables. The results show that considering externalities leads to more extensive networks and mode shifts, but requires high public investments. The importance of network integration and cross-border cooperation is highlighted. The findings aim to contribute to the design of an attractive and competitive European HSR network.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Mounisai Siddartha Middela, Gitakrishnan Ramadurai
Summary: This study addresses the research gaps in understanding the effect of regression models, measurement period, and spatial dependence on Freight Trip Generation (FTG) modeling and freight-related policies. The results show that the spatial Zero-Inflated Negative Binomial (ZINB) model is the best for daily and weekly Freight Trip Production (FTP), while the non-spatial Negative Binomial (NB) model is the best for daily and weekly Freight Trip Attraction (FTA). The study also highlights the importance of considering spatial dependence and using count models with a week as the measurement period.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)