Article
Operations Research & Management Science
David Schmaranzer, Roland Braune, Karl F. Doerner
Summary: The study introduces a simulation-based headway optimization method for complex urban mass rapid transit systems, which combines a two-phase algorithm and multi-objective covariance matrix adaptation evolution strategy, demonstrating superior performance in terms of spread and accuracy compared to other approaches.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Tao Liu, Wen Ji, Konstantinos Gkiotsalitis, Oded Cats
Summary: This paper discusses the transfer optimization problem in public transport networks and proposes an integrated approach to solve the coordinated timetabling and vehicle scheduling problems. The findings suggest that the integrated optimization approach generates superior solutions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Civil
Zorica Cvijovic, Milan Zlatkovic, Aleksandar Stevanovic, Yu Song
Summary: This paper explores CV-based algorithms that leverage transit vehicle speed and estimated arrival time at intersections to trigger transit signal priority, aiming to enhance traffic efficiency and safety.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Economics
Jeff Allen, Steven Farber, Stephen Greaves, Geoffrey Clifton, Hao Wu, Somwrita Sarkar, David M. Levinson
Summary: This study found that recent immigrants tend to settle in areas with higher public transit accessibility and rely more on public transit for commuting trips. However, in the gateway city of Toronto, immigrants are more suburbanized compared to Sydney where they cluster around commuter rail. Furthermore, recent immigrants in peripheral suburbs and rural areas face transport-related social exclusion risks due to insufficient transit service.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Thermodynamics
Mingyang Li, Jinjun Tang
Summary: This study proposes a simulation-based optimization method to address the unsatisfactory performance of flex-route transit (FRT) in cases with high demand levels. The proposed method models the location problem as a simulation-based optimization (SO) problem based on Monte Carlo simulation (MCS). A multiple metamodel-based efficient global optimization (MMEGO) algorithm is introduced to effectively solve the SO problem. Simulation tests based on data from the operation of 320 buses in Shenzhen city show that the proposed method can identify suitable locations for assisted stations and reduce the total system cost by 26.6%.
Article
Environmental Studies
Luyu Liu, Harvey J. Miller
Summary: The emergence of urban Big Data provides new opportunities for a deeper understanding of transportation within cities, as public transit agencies collect and publish high-resolution schedule and real-time vehicle location data to aid users in trip planning. Research utilizing these data generates new insights into public transit delays, with measures developed to assess the risk of missing bus route transfers and time penalties. Analysis of these measures at different spatial and temporal resolutions reveals patterns that can guide planning and decision making to improve on-time performance.
Article
Engineering, Civil
Siqing Wang, Jian Wang, Xiaowei Hu, Tingting Dong, Zhipeng Niu
Summary: This study investigates the routing optimization of flexible transit with time windows in order to meet trip demands and avoid transit capacity waste or shortages. A routing optimization model is developed to minimize system operation costs and costs incurred by passengers' time penalties. The problem is solved using an adaptive genetic algorithm. The results confirm the advantages of the developed algorithm and indicate that the mixed demand operation mode of transit reduces total costs compared to separate pick-up and delivery modes.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Remote Sensing
Tong Zhang, Wenyuan Zhang, Zhenxuan He
Summary: This paper introduces a novel methodology to measure positive public transit accessibility based on multi-source big public transit data and produces accessibility maps to visualize time-varying and heterogeneous accessibility patterns. Empirical evaluation on real-world transit data demonstrates the applicability and effectiveness of the proposed method in mapping positive transit accessibility. The proposed positive accessibility measure can better capture travel behavior characteristics and constraints than traditional normative measures.
GEO-SPATIAL INFORMATION SCIENCE
(2021)
Article
Computer Science, Information Systems
Yan Yang, Sara Metcalf, Liang Mao
Summary: This article introduces a novel agent-based model that integrates social-spatial networks to study hurricane evacuation in the Florida Keys, USA. The simulation results show that adding public transportation capacity significantly reduces traffic load and evacuation time, providing a practical, accessible, and equitable route to safety for low mobility populations.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Transportation
Jacob L. Wasserman, Brian D. Taylor
Summary: This study investigates the transit ridership trends in the Greater Los Angeles and the San Francisco Bay Area during the 2010s and highlights the differences between these two regions. While both regions experienced a decline in transit ridership, the patterns and factors behind the decline varied. The Greater Los Angeles area had a longer and more substantial decline, affecting a wider range of routes, times, and sub-regions, and was mainly concentrated on the dominant operator. In contrast, the decline in the Bay Area may be attributed to the dispersal of jobs and housing, as well as the popularity of ridehail services like Lyft and Uber.
JOURNAL OF PUBLIC TRANSPORTATION
(2022)
Article
Operations Research & Management Science
Keji Wei, Vikrant Vaze, Alexandre Jacquillat
Summary: By optimizing transit schedules, substantial cost savings and reductions in expenses for passengers and transportation service providers can be achieved. These benefits are driven by better aligning transportation options with passenger preferences, resulting in stronger societal benefits.
TRANSPORTATION SCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Jiahui Liu, Peiqun Lin, Bin Ran
Summary: This article presents a reservation-based cooperative transit signal priority mechanism for a bus rapid transit system with connected vehicle technology. The proposed model can reduce average person delays by approximately 6.0-18.6% and has no negative impact on general traffic users even in a saturated condition, as demonstrated by simulation evaluation results.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2021)
Article
Engineering, Civil
Mohsen Momenitabar, Zhila Dehdari Ebrahimi, Jeremy Mattson, Jill Hough
Summary: The electrification of traditional transit route networks is a promising option for urban public transit. By utilizing energy storage (ES) chargers, the proposed bi-level optimization model aims to minimize travel times and costs while considering demand charges for electric transit networks. The discrete multi-objective grey wolf optimizer algorithm is suggested to search for feasible solutions and generate a new set of transit routes. Testing on benchmark networks confirmed significant cost savings when considering ES chargers.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Urban Studies
Torrey Lyons, Reid Ewing
Summary: The study suggests that transit can have a modest impact on unemployment and poverty by affecting compactness in regions. It is the first to find a relationship between transit and poverty using a national sample of US regions, supporting the importance of transit-supportive policies in alleviating unemployment and poverty.
Article
Environmental Studies
Theresa Enright
Summary: This article discusses the proliferation of transit-based arts and cultural programs globally and their impact on transportation and urban dynamics. It argues that the rise of transit art should not be uncritically celebrated, but rather situated within a political and aesthetic economy where art has become "expedient". The article contends with the ways in which transit art is implicated in elite, exclusionary, and unsustainable processes of urbanization.
Article
Computer Science, Hardware & Architecture
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Article
Transportation Science & Technology
Zhichao Cao, Avishai (Avi) Ceder, Lin Zhang
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Transportation
Zhichao Cao, Avishai (Avi) Ceder, Dewei Li, Silin Zhang
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2020)
Article
Computer Science, Information Systems
Ivana Hartmann Tolic, Emmanuel Karlo Nyarko, Avishai (Avi) Ceder
Article
Transportation Science & Technology
Tao Liu, Avishai (Avi) Ceder
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Engineering, Civil
Chunyan Tang, Avishai Ceder, Ying-En Ge, Na Wu
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Green & Sustainable Science & Technology
Oren E. Nahum, Yuval Hadas
Article
Computer Science, Interdisciplinary Applications
Silin Zhang, Avishai Avi Ceder, Zhichao Cao
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Transportation
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Summary: This study evaluates the importance of transfer points in public transport networks using the Shapley value from cooperative game theory, developing a special formulation for transfers. Due to the computational requirements for large networks, a Monte Carlo approximation is used. A real-world case study demonstrates the model's viability.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2021)
Article
Transportation Science & Technology
Avishai (Avi) Ceder, Yu Jiang
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Engineering, Civil
Tao Liu, Avishai (Avi) Ceder, Andreas Rau
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Computer Science, Hardware & Architecture
Mauro Passacantando, Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Summary: This study introduces a new framework to investigate Braess' paradox, by utilizing cooperative games with transferable utility to evaluate the contribution of network resources to overall network performance.
Article
Operations Research & Management Science
Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
Summary: In this study, a game-theoretic approach based on the framework of transferable-utility cooperative games is used to assess the reliability of transfer nodes in public transportation networks with stochastic transfer times. The Shapley value is employed to identify the centrality and relative importance of the transfer stops, and a two-level Monte Carlo approximation is introduced to efficiently account for the stochastic features of the transportation network. The results demonstrate the usefulness of the proposed approach for planners and policy makers.
EURO JOURNAL ON TRANSPORTATION AND LOGISTICS
(2022)
Review
Environmental Studies
Avishai (Avi) Ceder
Summary: This work reviews potential urban transportation options for the future, emphasizing the need for public transportation modes over private cars. It reflects on possibilities for the future and proposes a visionary approach grounded in realism. The key principle for future mobility in smart cities will be optimizing connectivity for a seamless move, with a shift towards public transport modes expected.
INTERNATIONAL JOURNAL OF URBAN SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Chunyan Tang, Avishai (Avi) Ceder, Ying-En Ge, Tao Liu
Summary: The study proposed a network-based method to optimize multiple operational strategies for public transit to accommodate fluctuating passenger demand. By adjusting vehicle departures, it was found that a combination of operational strategies can reduce total vehicle time and empty-seat time.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2021)
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)