Article
Urban Studies
Carolina Busco, Felipe Gonzalez, Paulina Carmona, Alex Cancino, Borja Alonso
Summary: This research examines the relationship between transportation and social exclusion in Santiago, Chile by studying the disadvantages faced by public bus riders. Qualitative focus groups were used to identify the factors that prevent the use of public buses, and a survey was conducted with 512 valid responses. Eight dimensions were identified, with security being the worst evaluated and presenting the greatest disadvantage. More than 50% of riders, especially women, young people, and the elderly, have experienced the inability to use public transit buses due to safety concerns. One important observation is the need for further transportation disadvantage research from a gender perspective.
Article
Engineering, Electrical & Electronic
Xiaoyu Qi, Gang Mei, Francesco Piccialli
Summary: The paper proposed a method for resilience evaluation of urban bus-subway hybrid traffic networks for potential applications in IoT-based smart transportation in megacities, validated through application in Beijing. The method combines urban bus and subway networks to optimize resource allocation of vital nodes, aiming to enhance the efficiency of IoT-based smart transportation management in megacities.
IEEE SENSORS JOURNAL
(2021)
Article
Transportation
Alvaro Rodriguez-Valencia, Hernan Alberto Ortiz-Ramirez, Willis Simancas, Jose Agustin Vallejo-Borda
Summary: This research analyzes three PT bus subsystems in the same city using SEM-MIMIC models and identifies three latent variables that influence user satisfaction. The research provides decision-makers with a broader understanding of how to improve public transportation services.
JOURNAL OF PUBLIC TRANSPORTATION
(2022)
Article
Computer Science, Artificial Intelligence
Muhammet Deveci, Dragan Pamucar, Ilgin Gokasar, Dursun Delen, Luis Martinez
Summary: This paper introduces an improved fuzzy Einstein Combined Compromise Solution (CoCoSo) methodology to improve uncertainty management and simplify weighting criteria. The methodology utilizes nonlinear fuzzy weighted Einstein functions to define weighted sequences and enables better perception of the relationships between criteria. It allows for the processing of complex and uncertain information, contributing to the rational definition of compromise strategies and objective reasoning when solving real-world decision problems.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Mathematical & Computational Biology
Ma Xinlei, Chen Wen, Gao Zhan, Yang Tao
Summary: The lack of consensus and foreseeability in decision-making for modern public transportation projects may lead to poor sustainability. To address this issue, the authors propose a dynamical Dijkstra simulation model to simulate real traffic flows and design a combined decision support model using fuzzy AHP and dynamical Dijkstra simulation tests. This model enables the analysis and creation of consensus among different stakeholders in transport development problems.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Engineering, Civil
Ahmed Foda, Moataz Mohamed, Mohamed Bakr
Summary: The introduction of electric mobility solutions can reduce greenhouse gas emissions from transportation. This study focuses on battery-electric buses (BEBs) and aims to determine the optimal allocation of BEB infrastructure and charging schedules. A generic model for BEB charging capacity and scheduling is developed, utilizing a surrogate model-based space mapping algorithm to calculate trip-level BEB energy consumption. The proposed algorithm is tested on the bus transit network in Belleville City, Canada, with the results demonstrating the efficiency of the model and the importance of calculating trip-level energy consumption for optimization.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Shaopeng Li, Teng Wu
Summary: The uncertain weather and traffic conditions caused by hurricanes make managing transportation infrastructure a stochastic decision problem. This study proposes a deep reinforcement learning-based decision support system to minimize network-level losses caused by hurricanes.
Article
Engineering, Civil
Kareem Othman, Amer Shalaby, Baher Abdulhai
Summary: Dynamic bus lane (DBL) is a promising priority strategy that can improve overall corridor performance under various traffic and transit service conditions. Exclusive bus lane (EBL) can improve corridor performance under high traffic demand and high transit frequency levels, but only if there is a major mode shift from auto to transit.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Enshu Wang, Bingyi Liu, Songrong Lin, Feng Shen, Tianyu Bao, Jun Zhang, Jianping Wang, Adel W. Sadek, Chunming Qiao
Summary: This paper introduces a bus-pooling system that allows buses to choose their next stop or terminal based on orders submitted by passengers, rather than following fixed bus lines. The proposed approach treats each bus as an agent and formulates their re-routing decision-making process as a Semi-Markov game. To solve the game, a novel double graph attention actor-critic (DGAAC) framework is proposed, which integrates high-level and low-level actors and critics with graph attention networks (GATs). Extensive experiments on a real-world dataset in Shenzhen, China, validate the superior performance of the DGAAC framework compared to all baselines.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Industrial
Mehmet Baran Ulak, Ayberk Kocatepe, Anil Yazici, Eren Erman Ozguven, Ashutosh Kumar
Summary: Despite the decrease in crashes and fatalities in the U.S. since 1990, pedestrian crashes have been on the rise, prompting initiatives to address pedestrian safety concerns. However, guidelines are limited by the lack of pedestrian data, highlighting the need to quantify safety of pedestrian facilities. This study proposes a safety index for public transportation bus stops to assess pedestrian safety and identify high-risk locations proactively.
Article
Engineering, Civil
Angela E. Kitali, Cecilia Fabian Kadeha, Boniphace Kutela, Emmanuel Kidando, Derick D. Semu, Norris Novat, Janeroza W. Matyenyi
Summary: This study conducted a comprehensive safety evaluation of the BRT system in Tanzania and found that major intersections and locations with commercial activities are the hot spots for BRT bus crashes. The study also revealed factors associated with the severity of crashes, such as distraction, collision with non-motorized road users, and disregarding traffic control devices.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Geography
Stephen Zigmund
Summary: This study delves into how infrastructural excess impacts the political rationality and service improvement of public bus transit, emphasizing the influence of branding and policing on public transportation services. It highlights the negative impact of BRT on land development goals, to the detriment of working-class residents and passengers.
Article
Engineering, Civil
Pranav Gairola, N. Nezamuddin
Summary: This study developed an optimization model for battery electric bus (BEB) systems, considering varying energy demand scenarios and waiting time limitations. The model determined the effects of waiting time limitations on BEB battery sizes and charger design variables while minimizing the total cost of the system. The results show that considering waiting time limitations can affect the design of BEB systems and help bus operators comply with service level agreements.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Transportation
Zizhen Xu, Chuwei Zhang, Shauhrat S. Chopra
Summary: This research evaluates node percolation in the transportation domain, specifically in the public bus transit system, and assesses the impact of post-disruption response measures on network robustness. The study finds that the dependent network model of public bus transit becomes increasingly vulnerable to infrastructure failures, but response measures are effective up to a certain level of disruption. Furthermore, the research provides prescriptive insights into the design of transportation contingency plans.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Transportation
Ronghan Yao, Xiaojing Du
Summary: The study investigated the impact of lane changing behaviors on public transportation operations and analyzed the interaction between passenger car drivers and bus drivers with different driving styles using game theory. Results showed that the proposed model has high accuracy rates in predicting behaviors of different drivers, and has the potential to improve traffic safety and efficiency.
TRAVEL BEHAVIOUR AND SOCIETY
(2022)
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)