Relevant bibliographies by topics / Passengers Flow Estimation

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Passengers Flow Estimation'

Author: Grafiati
Published: 28 September 2024
Last updated: 31 July 2025

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Journal articles on the topic "Passengers Flow Estimation"

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Yang, Taoyuan, Peng Zhao, and Xiangming Yao. "A Method to Estimate URT Passenger Spatial-Temporal Trajectory with Smart Card Data and Train Schedules." Sustainability 12, no. 6 (2020): 2574. http://dx.doi.org/10.3390/su12062574.

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Precise estimation of passenger spatial-temporal trajectory is the basis for urban rail transit (URT) passenger flow assignment and ticket fare clearing. Inspired by the correlation between passenger tap-in/out time and train schedules, we present a method to estimate URT passenger spatial-temporal trajectory. First, we classify passengers into four types according to the number of their routes and transfers. Subsequently, based on the characteristic that passengers tap-out in batches at each station, the K-means algorithm is used to assign passengers to trains. Then, we acquire passenger acce
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Xie, Mei-Quan, Xia-Miao Li, Wen-Liang Zhou, and Yan-Bing Fu. "Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks." Computational Intelligence and Neuroscience 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/375487.

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Short-term passenger flow forecasting is an important component of transportation systems. The forecasting result can be applied to support transportation system operation and management such as operation planning and revenue management. In this paper, a divide-and-conquer method based on neural network and origin-destination (OD) matrix estimation is developed to forecast the short-term passenger flow in high-speed railway system. There are three steps in the forecasting method. Firstly, the numbers of passengers who arrive at each station or depart from each station are obtained from histori
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Yang, Yuedi, Jun Liu, Pan Shang, Xinyue Xu, and Xuchao Chen. "Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques." Journal of Advanced Transportation 2020 (December 7, 2020): 1–16. http://dx.doi.org/10.1155/2020/8846715.

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At present, the existing dynamic OD estimation methods in an urban rail transit network still need to be improved in the factors of the time-dependent characteristics of the system and the estimation accuracy of the results. This study focuses on predicting the dynamic OD demand for a time of period in the future for an urban rail transit system. We propose a nonlinear programming model to predict the dynamic OD matrix based on historic automatic fare collection (AFC) data. This model assigns the passenger flow to the hierarchical flow network, which can be calibrated by backpropagation of the
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Su, Guanghui, Bingfeng Si, Kun Zhi, and He Li. "A Calculation Method of Passenger Flow Distribution in Large-Scale Subway Network Based on Passenger–Train Matching Probability." Entropy 24, no. 8 (2022): 1026. http://dx.doi.org/10.3390/e24081026.

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The ever-increasing travel demand has brought great challenges to the organization, operation, and management of the subway system. An accurate estimation of passenger flow distribution can help subway operators design corresponding operation plans and strategies scientifically. Although some literature has studied the problem of passenger flow distribution by analyzing the passengers’ path choice behaviors based on AFC (automated fare collection) data, few studies focus on the passenger flow distribution while considering the passenger–train matching probability, which is the key problem of p
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Teknomo, Kardi. "Axiomatization of Transit Flow Estimation." Civil Engineering Dimension 27, no. 1 (2025): 95–112. https://doi.org/10.9744/ced.27.1.95-112.

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Transit flows between stations are typically estimated indirectly using fare collecting data rather than through direct measurement. Traditional methods approximate transit flows by adapting Origin-Destination (OD) trip estimation techniques. However, these approaches have two significant limitations. First, transit link flows represent the number of passengers remaining within the transit vehicles between stations, while OD flows specifically represent passengers entering at one station and exiting at another station. Second, traditional methods rely on the assumption that a cost function is
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Nagasaki, Yusaku, Masashi Asuka, and Kiyotoshi Komaya. "A Fast Estimation Method of Railway Passengers' Flow." IEEJ Transactions on Electronics, Information and Systems 126, no. 11 (2006): 1406–13. http://dx.doi.org/10.1541/ieejeiss.126.1406.

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Xu, Junming, Zhenxing Pan, Cheng Zhang, and Xiaoguang Yang. "Leveraging Bluetooth and GPS Sensors for Route-Level Passenger Origin–Destination Flow Estimation." Sensors 25, no. 8 (2025): 2351. https://doi.org/10.3390/s25082351.

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Accurate estimation of passenger origin–destination (OD) matrices is critical for optimizing public transportation systems, yet conventional methods face challenges, such as incomplete alighting data, high infrastructure costs, and privacy concerns. With existing GPS sensors and the additional deployment of a single low-cost Bluetooth sensor (10–20 US dollars) per bus, the proposed method can derive passenger OD flow without requiring passengers to tap in or tap out. The GPS sensor updates the bus locations, and the Bluetooth sensor receives signals from surrounding devices, including those on
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Li, Wei, and Qin Luo. "A data-driven estimation method for potential passenger demand of last trains in metro based on external traffic data." Advances in Mechanical Engineering 11, no. 12 (2019): 168781401989835. http://dx.doi.org/10.1177/1687814019898357.

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The last train problem for metro is especially important because the last trains are the last chances for many passengers to travel by metro; otherwise, they have to choose other traffic modes like taxis or buses. Among the problems, the passenger demand is a vital input condition for the optimization of last train transfers. This study proposes a data-driven estimation method for the potential passenger demand of last trains. Through the geographic information, external traffic data including taxi and bus are first analyzed separately to match the origin–destination passenger flow during the
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Su, Guanghui, Bingfeng Si, Fang Zhao, and He Li. "Data-Driven Method for Passenger Path Choice Inference in Congested Subway Network." Complexity 2022 (February 28, 2022): 1–13. http://dx.doi.org/10.1155/2022/5451017.

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In a congested large-scale subway network, the distribution of passenger flow in space-time dimension is very complex. Accurate estimation of passenger path choice is very important to understand the passenger flow distribution and even improve the operation service level. The availability of automated fare collection (AFC) data, timetable, and network topology data opens up a new opportunity to study this topic based on multisource data. A probability model is proposed in this study to calculate the individual passenger’s path choice with multisource data, in which the impact of the network t
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Asmael, N. M., and Sh F. Balket. "Demand Estimation of Proposed Bus Rapid Route in Al Kut City." IOP Conference Series: Earth and Environmental Science 961, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1755-1315/961/1/012026.

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Abstract Public transit in the city of Al-Kut faces great challenges due to the weakness of the local government abilities in providing adequate conditions for public transport such as wide vehicles, comfortable seats, and other environmentally friendly means of transport that are almost non-use in the city of Kut, where the dependence is heavily on Mini Bus (Kia) and a medium-sized bus, most of which are old, do not operate in an integrated way, compete with each other for the passengers, reduce the flexibility of movement. This study attempts to estimate the demand for the proposed bus rapid
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Dissertations / Theses on the topic "Passengers Flow Estimation"

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Drosouli, Ifigeneia. "Multimodal machine learning methods for pattern analysis in smart cities and transportation." Electronic Thesis or Diss., Limoges, 2024. http://www.theses.fr/2024LIMO0028.

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Dans le contexte des environnements urbains modernes et densément peuplés, la gestion efficace des transports et la structure des Systèmes de Transport Intelligents (STI) sont primordiales. Le secteur des transports publics connaît actuellement une expansion et une transformation significatives dans le but d'améliorer l'accessibilité, d'accommoder des volumes de passagers plus importants sans compromettre la qualité des déplacements, et d'adopter des pratiques respectueuses de l'environnement et durables. Les avancées technologiques, notamment dans l'Intelligence Artificielle (IA), l'Analyse d
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Lu, Dawei. "Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1228268640.

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Chen, Aijing. "Bus Transit Passenger Origin-Destination Flow Estimation: Capturing Terminal Carry-Over Movements Using the Iterative Proportional Fitting Method." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1593675738643412.

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Strohl, Brandon A. "Empirical Assessment of the Iterative Proportional Fitting Method for Estimating Bus Route Passenger Origin-Destination Flows." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1261583295.

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Ji, Yuxiong. "Distribution-based Approach to Take Advantage of Automatic Passenger Counter Data in Estimating Period Route-level Transit Passenger Origin-Destination Flows:Methodology Development, Numerical Analyses and Empirical Investigations." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1299688722.

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Lu, Shiu-chun, and 盧修群. "Passenger Car Equivalent Estimation of Motorcycle by Measuring the Queue Clearing Time - An Example for the Mixed Traffic Flow of Taiwan Boulevard in Taichung City." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/92069603979042120397.

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碩士<br>逢甲大學<br>運輸科技與管理學系<br>101<br>If the passenger car equivalent settings (large vehicle equals to 1.5 PCE; passenger car equals to 1 PCE; motorcycle equals to 0.3 PCE) of general practice is assumed for urban timing plan, there may be discrepancies between the simulated flow and real traffic flow. Especially the influence of the number of motorcycles may be biased. Due to high ownership of private vehicles, dense population, and limited GDP (Gross Domestic Product) in Taiwan, the number of motorcycles on the road are higher than that of other countries. In mixed traffic lanes, how motorcycl
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Book chapters on the topic "Passengers Flow Estimation"

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Heyde, T., J. Behne, G. Dettweiler, and F. Neumann. "User Support for Estimating the Passenger Flow in Airport Terminals." In Human Comfort and Security of Information Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60665-6_18.

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Cai, Yuexiao, Yunlong Zhao, Jinqian Yang, and Changxin Wang. "A Bus Passenger Flow Estimation Method Based on POI Data and AFC Data Fusion." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7530-3_27.

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Kong, Chaoqun, Tangyi Guo, and Liu He. "Research on OD Estimation of Public Transit Passenger Flow Based on Multi-source Data." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5615-7_42.

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Ye, Jiexia, JuanJuan Zhao, Liutao Zhang, ChengZhong Xu, Jun Zhang, and Kejiang Ye. "A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems." In Big Data – BigData 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59612-5_9.

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Peng, Yu Fei, and Xi Jiang. "Passenger Flow Estimation in Urban Rail Transit Transfer Station Based on Multi-Source Detection Data." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6431-4_24.

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Moridpour, Sara. "Analysing the Performance of a Fuzzy Lane Changing Model Using Data Mining." In Data Mining in Dynamic Social Networks and Fuzzy Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4213-3.ch013.

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Heavy vehicles have substantial impact on traffic flow particularly during heavy traffic conditions. Large amount of heavy vehicle lane changing manoeuvres may increase the number of traffic accidents and therefore reduce the freeway safety. Improving road capacity and enhancing traffic safety on freeways has been the motivation to establish heavy vehicle lane restriction strategies to reduce the interaction between heavy vehicles and passenger cars. In previous studies, different heavy vehicle lane restriction strategies have been evaluated using microscopic traffic simulation packages. Micro
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Hoang, Trung, Donato Di Paola, and Anthony Ohazulike. "Distributed Vision-Based Passenger Flow Monitoring System for Light Rail Networks." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230009.

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In this paper, we present an innovative approach to passenger flow monitoring for light rail transportation networks. We propose a distributed system based on two main concepts. On each vehicle in the transportation network, a set of sensors is used to count people at a given place. On a cloud-based server, a data synchronization and storage system aggregates the data sent from all vehicles and provides a global view of the transportation network. The contribution, with respect to the state of the art, of our approach is twofold. First, the proposed distributed architecture is able to reduce t
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Mustaffa, Zahiraniza, Ebrahim Hamid Hussein Al-Qadami, Syed Muzzamil Hussain Shah, and Khamaruzaman Wan Yusof. "Impact and Mitigation Strategies for Flash Floods Occurrence towards Vehicle Instabilities." In Flood Impact Mitigation and Resilience Enhancement. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92731.

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This chapter presents a flood risk management system for vehicles at roadways, developed from extensive experimental and numerical studies on the impact of flash floods towards vehicle instabilities. The system, easily addressed as FLO-LOW, developed to contradict the assumptions that a vehicle would be able to protect the passengers from the flood impact. Herein the hydrodynamics of flows moving across these roads coupled with the conditions of a static car that would result in vehicle instabilities has been studied. In an attempt to prevent fatalities in commonly flooded areas, permanent str
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Akin, Darcin, and Serdar Alasalvar. "Estimate Urban Growth and Expansion by Modeling Urban Spatial Structure Using Hierarchical Cluster Analyses of Interzonal Travel Data." In Megacities and Rapid Urbanization. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9276-1.ch026.

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Estimating the spatial organization of cities yields insights into interactions over a spatial structure, and thus creating efficient subcenters with more balanced distribution of travel patterns over urban agglomerations can be exercised via models which support an evidence-based spatial planning. As cities evolve and self-organize as complex spatial structures, problems such as accessibility, environmental sustainability, and social equity or weak economy can be incurred by unrealistic development scenarios. In this regard, it is claimed that the dynamic nature of the urban spatial structure
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de Diviis Valerio. "Maritime Terrorism." In NATO Science for Peace and Security Series - E: Human and Societal Dynamics. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-131-1-137.

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Maritime terrorism is the maritime dimension of contemporary asymmetric warfare conducted by international terrorist organizations. Maritime terrorism is the undertaking of terrorist acts and activities within the maritime environment against vessels or fixed platforms at sea or in port, or against any one of their passengers or personnel, against coastal facilities or settlements, including tourist resorts, port areas and port towns or cities as well as any maritime activity intended to support the existence or the purposes of one or more terrorist organizations through licit or illicit means
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Conference papers on the topic "Passengers Flow Estimation"

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"A FUZZY LOGIC INFERENCE APPROACH FOR THE ESTIMATION OF THE PASSENGERS FLOW DEMAND." In International Conference on Fuzzy Computation. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003057701250129.

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Rathnayake, O., V. Adikariwattage, and C. Senanayake. "Using a machine learning approach to develop a macroscopic passenger flow model for departure passengers at an airport terminal." In Transport Research Forum 2025. Transportation Engineering Group, Department of Civil Engineering, University of Moratuwa, 2025. https://doi.org/10.31705/trf.2025.14.

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Effective passenger flow management is a cornerstone of airport terminal operations, directly impacting service quality, resource allocation, and traveller satisfaction. As global air traffic demand continues to grow, airport systems must contend with increasingly complex, dynamic, and high-volume environments. Traditional modelling methods—such as queuing theory, regression models, and discrete event simulation (DES)—have provided valuable frameworks for analysing terminal processes. However, these methods often struggle to deliver scalable, flexible, and real-time solutions required for mode
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Hoffer, P. A., T. Deconinck, Ch Hirsch, et al. "Aeroacoustic Computations of Contra-Rotating Open Rotors Using the Nonlinear Harmonic Method and a Chorochronic Approach." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68982.

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Due to their great potential for fuel saving, Contra-Rotating Open Rotors (CRORs) receive renewed interest by the airframers and the engine manufacturers. The inherent high efficiency of this propulsion system, however, is potentially offset by the level of noise emitted by the open blades. The acoustic impact on passengers and community may represent a major issue to their environmental acceptance. Fast and robust noise prediction tools are clearly required to support the development of quieter propellers and their integration in future civil aeronautical transport. The most common strategy f
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Chung, Wei-Yi, Yen-Nan Ho, Yu-Hsuan Wu, and Jheng-Long Wu. "A Dynamic Embedding Method for Passenger Flow Estimation." In 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2021. http://dx.doi.org/10.1109/iiai-aai53430.2021.00070.

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Shimada, Yutaka, Motoki Takagi, and Yukinobu Taniguchi. "Person Re-identification for Estimating Bus Passenger Flow." In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2019. http://dx.doi.org/10.1109/mipr.2019.00037.

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Nagasaki, Y., M. Asuka, and K. Komaya. "A fast method for estimating railway passenger flow." In COMPRAIL 2006. WIT Press, 2006. http://dx.doi.org/10.2495/cr060181.

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Zhang, Jian, Wenquan Li, and Jinhuan Zhao. "Estimation of Original-Destination Matrices for Public Traffic Passenger Flow." In Ninth International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41064(358)248.

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Komatsu, Shunta, Ryosuke Furuta, and Yukinobu Taniguchi. "Passenger Flow Estimation with Bipartite Matching on Bus Surveillance Cameras." In 2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2021. http://dx.doi.org/10.1109/mipr51284.2021.00038.

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Xie, Hui, and Yuan Gao. "Simulation Based Estimation Approach for Departure Passenger Flow at Airport Terminal." In 2015 8th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2015. http://dx.doi.org/10.1109/iscid.2015.256.

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Yu, Chang, and Zhao-cheng He. "Passenger Flow Estimation Based on Smart Card Data in Public Transit." In 14th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413623.064.

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Reports on the topic "Passengers Flow Estimation"

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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning Syste
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Uechi, Luis, and José A. Barbero. Assessment of Transport Data Availability and Quality in Latin America. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0010453.

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The report is part of an initiative to map the transport data currently available within selected developing countries, looking to evaluate availability and quality of transport-related data in general, and particularly for information gaps affecting estimation of Greenhouse Gas emissions. The assessment of transport data availability and quality is performed by comparing the input information needed to run a transport model that identifies the major drivers for transport activity and emissions. The database requested includes typical transport information like fleet size and composition, pass
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