Article
Engineering, Civil
Felipe Delgado
Summary: This study examines the importance of regularity in buses' operation for providing good quality service. The objective is to minimize the deviation of dispatching intervals by determining ideal headways and assigning buses to specific lines and departure times. The results show that a flexible scheme improves frequency compliance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Yunqiang Xue, Meng Zhong, Luowei Xue, Haokai Tu, Caifeng Tan, Qifang Kong, Hongzhi Guan
Summary: In order to address the issue of bus bunching, a single-line real-time control strategy based on Intelligent Transportation System (ITS) was proposed. The strategy controlled the cruising speed, dwell time, and the bus load rate to improve the stability and speed of bus operation. The strategy was compared with traditional single-point control strategy and multi-point control strategy. The simulation results showed that the proposed real-time control strategy achieved the best performance in terms of average bus travel time, distance between buses, and running stability.
Article
Transportation Science & Technology
Qianqian Ma, Shukai Li, Huiming Zhang, Yin Yuan, Lixing Yang
Summary: This paper proposed a nonlinear optimal control model with passenger demand and disturbance uncertainties for real-time bus regulation in urban rapid transit, aiming to improve the stability of bus headway, reduce passengers' waiting time, and enhance bus service level. A robust optimal predictive control algorithm and mixed integer convex quadratic programming method were applied to generate real-time optimal bus regulation strategy, achieving effective solutions for any value of uncertain parameters.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Civil
Felipe de Souza, Mariana Teixeira Sebastiani
Summary: The study introduces a novel bus holding method based on the position of buses, which effectively reduces bus bunching and improves system resilience. The method significantly decreases delay time and enhances effectiveness by explicitly handling constraints, offering more than 20% reduction in overall delay time.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2021)
Article
Transportation Science & Technology
Guojun Chen, Shuyang Zhang, Hong K. Lo, Haode Liu
Summary: Bus bunching, which leads to excessive waiting time for passengers and undermines bus service reliability, is mainly caused by bus headway deviations. Contrary to theoretical expectations, empirical data shows that bus bunching occurs at a considerably lower frequency. This study reveals that the counteraction between headway deviations on links and at stops constrains the occurrence of bus bunching, indicating the self-repair ability of the bus system to resist disruptions.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Shaorong Hu, Yuqi Zhang, Yuefei Jin, Ziqi Dou
Summary: This paper investigates the influence of the discrete distribution of traffic operation state on bus bunching, using GPS data of the No. 600 bus line in Xi'an. The study finds that inter vehicle speed, queuing time at intersection, and loading time at station have a significant impact on headway between buses. The research results provide insights for formulating improvement measures to balance bus headway and alleviate bus bunching based on the traffic operation state.
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
(2023)
Article
Computer Science, Information Systems
Lucas Zimmermann, Leandro C. Coelho, Werner Kraus Jr, Rodrigo Castelan Carlson, Luiz Alberto Koehler
Summary: This study proposes an optimized bus headway control system, which utilizes mathematical programming and a multi-objective cost function for implementation. Results demonstrate the clear advantages of this method in bus operation.
Article
Economics
Zaid Saeed Khan, Monica Menendez
Summary: This study proposes an integrated strategy that combines bus-splitting with bus-holding to address bus bunching issues. The proposed strategy is shown to be effective in reducing the average travel cost and its variation, minimizing the overhead of bus bunching to below 10%.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Engineering, Industrial
Shidong Liang, Shengxue He, Hu Zhang, Minghui Ma
Summary: The self-equalizing bus headway control method has been shown to effectively resist bus bunching and is suitable for real-time transit operations. This study proposes a more precise and comprehensive model to describe the bus operation process and validates an optimal holding time calculation algorithm through numerical tests.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Green & Sustainable Science & Technology
Weiya Chen, Hengpeng Zhang, Chunxiao Chen, Xiaofan Wei
Summary: The study combines bus holding and speed adjusting methods to improve service reliability and reduce passengers' perceived waiting time at stops. Insights from performance analysis include the impact of holding control strength on headway regularity, the effect of suitable speed guidance on average cruising speed, and the key factors influencing the selection of speed-adjusting control points.
Article
Green & Sustainable Science & Technology
Dong Liu, Feng Xiao, Jian Luo, Fan Yang
Summary: This paper presents a novel deep reinforcement learning framework specifically designed to address the issue of bus bunching. The framework implements dynamic holding control in a multi-agent system, formulating the bus holding problem as a decentralized, partially observable Markov decision process. An event-driven simulator is developed to emulate real-world bus operations, and deep Q-learning with parameter sharing is proposed to train the agents. Extensive experiments demonstrate the significant advantages of the framework in reducing passenger waiting time, balancing bus load distribution, decreasing occupancy variability, and shortening travel time. The findings highlight the potential of the proposed method for practical application in real-world bus systems, offering promising solutions to mitigate bus bunching and enhance overall service quality.
Article
Engineering, Civil
Jiawei Wang, Lijun Sun
Summary: The bus system plays a vital role in sustainable urban transportation, but the instability of bus fleet operations often leads to bus bunching, which hampers efficiency and reliability. Previous studies neglect the robustness issue caused by disruptions and irregularities in the transit system, which is crucial for real-world implementation. This research proposes an IQNC-M framework that combines implicit quantile networks and meta-learning to achieve efficient and reliable control decisions by addressing uncertainties in real-time transit operations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Economics
Rolf N. van Lieshout, Paul C. Bouman, Marjan van den Akker, Dennis Huisman
Summary: This paper presents an online, decentralized policy for dispatching vehicles in a multi-line public transit system, demonstrating its self-organizing property and ability to automatically create timetables that meet target headways when a sufficient number of vehicles are available. Experimental results show that the policy performs well even when not all assumptions for theoretical analysis are met.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Physics, Multidisciplinary
Shengjie Qiang, Qingxia Huang
Summary: This study examines the application of the holding strategy in a non-dedicated bus route. Numerical simulations show that the holding strategy improves the distribution of bus vehicles and enhances the overall system capacity.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Engineering, Mechanical
Yijuan He, Jidong Lv, Tao Tang
Summary: This study proposed a dynamic headway model of the 'softwall' moving-block approach for CBTC to increase track capacity and improve dispatching efficiency based on train trajectory prediction.
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)
