Gotowe bibliografie tematyczne / Traffic Congestion Reduction

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Traffic Congestion Reduction”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Traffic Congestion Reduction"

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Chaurasia, Brijesh Kumar, Wellington S. Manjoro, and Mradul Dhakar. "Traffic Congestion Identification and Reduction." Wireless Personal Communications 114, no. 2 (2020): 1267–86. http://dx.doi.org/10.1007/s11277-020-07420-0.

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Yang, Shuxia, Yu Ji, Di Zhang, and Jing Fu. "Equilibrium between Road Traffic Congestion and Low-Carbon Economy: A Case Study from Beijing, China." Sustainability 11, no. 1 (2019): 219. http://dx.doi.org/10.3390/su11010219.

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China has allocated low-carbon targets into all regions and trades, and road traffic also has its own emission reduction targets. Congestion may increase carbon emissions from road traffic. It is worthwhile to study whether it is possible to achieve the goal of road traffic reduction by controlling congestion; that is, to achieve the equilibrium between traffic congestion and a low-carbon economy. The innovation of this paper is mainly reflected in the innovative topic selection, the introduction of a traffic index, and the establishment of the first traffic congestion and low-carbon economic
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FUSE, Takashi. "Reduction of Traffic Accidents and Congestion." Journal of the Society of Mechanical Engineers 115, no. 1123 (2012): 382–83. http://dx.doi.org/10.1299/jsmemag.115.1123_382.

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A, Lakshna, Gokila S, Ramesh K, and Surendiran R. "Smart Traffic: Traffic Congestion Reduction by Shortest Route * Search Algorithm." International Journal of Engineering Trends and Technology 71, no. 3 (2022): 423–33. http://dx.doi.org/10.14445/22315381/ijett-v71i3p244.

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Wang, Li, Shimin Lin, Jingfeng Yang, et al. "Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm." Complexity 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/5067145.

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Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic congestion and vice versa. The occurrence of traffic accidents usually leads to the reduction of road traffic capacity and the formation of traffic bottlenecks, causing the traffic congestion. In this paper, the formation and propagation of traffic congestion are simulated by using the improved medium traffic model, and the control strategy of c
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Hafees, Mohammed, and Madhu Kavitha. "Travel Time Reduction and Driver Preferences after the Construction of Alappuzha Bypass." Journal of Transportation Engineering and Traffic Management 3, no. 1 (2022): 1–5. https://doi.org/10.5281/zenodo.6008605.

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Ring roads are considered to be the best option for reducing the traffic congestions of a city. For the cost effective movement of goods and people, these traffic congestions must be reduced. This study is mainly conducted about the Alappuzha Bypass which is recently constructed for the purpose as a ring road. It is constructed for easy travel through Alappuzha town by NH 66 and better connectivity for the town. This is built in turn to reduce the traffic congestion inside the city. Alappuzha Bypass is a part of NH 66 that bypasses traffic of Alappuzha city in Kerala, India. The 6.8 km long by
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Pavlović, Ratko. "Solving the problem of congestion in city centers by applying Congestion Pricing - simulation in Belgrade." Put i saobraćaj 68, no. 3 (2022): 47–54. http://dx.doi.org/10.31075/pis.68.03.07.

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The problem of traffic congestion is one of the most significant global problems in the world. Numerous negative effects of congestion affect both the users themselves and people who are not direct participants in the traffic. The most significant negative effects caused by traffic congestion are greater time losses, increased emission of harmful gases, greater number of traffic accidents, noise, etc. Congestion charging is one of the measures that affects the reduction of traffic congestion by influencing the transport requirements of users. So far, congestion charging has been implemented in
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Miyamoto, Kodai, Taketo Kamasaka, Makoto Sakamoto, and Tsunehiro Yoshinaga. "Basic Study on Expressway Congestion Mitigation using Cellular Automata." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 3 (2021): 164–69. http://dx.doi.org/10.35940/ijrte.c6462.0910321.

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Traffic congestion has become a serious social problem in Japan. In particular, traffic congestion causes enormous time and economic losses on expressways, which are intended to facilitate smooth traffic flow. It also causes environmental problems and a decrease in logistics efficiency, so efforts to eliminate or reduce traffic congestion are essential. The elimination and mitigation of traffic congestion on highways is a factor in reducing traffic accidents and fatalities. In recent years, with the improvement of computing capabilities, research on traffic congestion reduction and mitigation
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Kodai, Miyamoto, Kamasaka Taketo, Sakamoto Makoto, and Yoshinaga Tsunehiro. "Basic Study on Expressway Congestion Mitigation using Cellular Automata." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 3 (2021): 164–69. https://doi.org/10.35940/ijrte.C6462.0910321.

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Traffic congestion has become a serious social problem in Japan. In particular, traffic congestion causes enormous time and economic losses on expressways, which are intended to facilitate smooth traffic flow. It also causes environmental problems and a decrease in logistics efficiency, so efforts to eliminate or reduce traffic congestion are essential. The elimination and mitigation of traffic congestion on highways is a factor in reducing traffic accidents and fatalities. In recent years, with the improvement of computing capabilities, research on traffic congestion reduction and mitigation
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Gandhi, Palash, Aakash Chandrana, and Tushar Karia. "Intelligent Traffic Congestion Reduction System using Proximity Sensors." International Journal of Computer Applications 101, no. 8 (2014): 34–36. http://dx.doi.org/10.5120/17710-8720.

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Rozprawy doktorskie na temat "Traffic Congestion Reduction"

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Bigazzi, Alexander York. "Traffic Congestion Mitigation as an Emissions Reduction Strategy." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/131.

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Policy-makers, transportation researchers, and activists often assume that traffic congestion mitigation results in reduced vehicle emissions without proper justification or quantification of the benefits. If congestion mitigation is going to be tied to air quality goals, a better understanding of the impacts of traffic congestion on motor vehicle emissions is needed. This research addresses that need by investigating under which circumstances the commonly held assumption linking congestion mitigation to emissions reductions is valid. We develop and apply a mathematical framework to study the
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Heyns, Werner. "Urban congestion charging : road pricing as a traffic reduction measure / W. Heyns." Thesis, North-West University, 2005. http://hdl.handle.net/10394/523.

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Urban traffic congestion is recognised as a major problem by most people in world cities. However, the implementation of congestion reducing measures on a wide scale eludes most world cities suffering from traffic congestion, as many oppose the notion of road pricing and despite economists and transportation professionals having advocated its benefits for a number of decades. The effects of road pricing have attracted considerable attention from researchers examining its effects, as it is thought to hold the key in understanding and overcoming some inherent obstacles to implementation. Unfortu
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Rahman, Mustazibur. "Management of City Traffic, Using Wireless Sensor Networks with Dynamic Model." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30916.

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Road network of a region is of a paramount importance in the overall development. Management of road traffic is a key factor for the city authority and reducing the road traffic congestion is a significant challenge in this perspective. In this thesis, a Wireless Sensor Network (WSN) based road-traffic monitoring scheme with dynamic mathematical traffic model is presented that will not necessarily include all adjacent intersections of a block; rather the important major intersections of a city. The objective of this scheme is to reduce the congestion by re-routing the vehicles to better perfor
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Bevrani, Bayan. "Multi-criteria capacity assessment and planning models for multi-modal transportation systems." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122895/1/Bayan_Bevrani_Thesis.pdf.

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This research provides a comprehensive set of methods for the capacity assessment of multi-modal transportation systems, which are easy to apply and can significantly reduce the time to perform a capacity analysis. This thesis developed multi-objective mathematical models that can evaluate the effect of parametric and structural changes and can assist planners to update and reconfigure multi-modal transportation systems considering the trade-off in different aspects of cost, time and functionality. The methods proposed in this thesis can help planners and decision-makers to identify the perfor
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Girardet, Brunilde. "Trafic aérien : détermination optimale et globale des trajectoires d'avion en présence de vent." Thesis, Toulouse, INSA, 2014. http://www.theses.fr/2014ISAT0027/document.

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Dans le contexte du futur système de gestion du trafic aérien, un des objectifs consiste à réduire l’impact environnemental du trafic aérien. Pour respecter ce but, le concept de “free-route”, introduit dans les années 1990, semble bien adapté aujourd’hui. Les avions ne seraient plus contraints à voler le long de routes aériennes, mais pourraient suivre des trajectoires optimales en terme de consommation. L’objectif de cette thèse est d’introduire une nouvelle méthode de planification du trafic à l’horizon pré-tactique avec des objectifs quelques fois contradictoires, c’est-à-dire avec pour bu
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Čechová, Natália. "Testing of traffic reduction policies using a transport demand model." Master's thesis, 2012. http://hdl.handle.net/10316/97106.

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Dissertação de Mestrado em Engenharia Mecânica, Energia e Ambiente, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.<br>This thesis aimed to test the impact of various transport demand management (TDM) measures on traffic road assignment in transport demand macro model developed for the city of Coimbra in software VISUM 12.0. The policies tested in the model were parking policy, carpooling incentives, urban road tolling policy and improvement of public bus transit, as well as strategic combinations of all of those policies. The study measures the impact on aggregate
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Chung, Koo Hong. "Understanding and mitigating capacity reductions at freeway bottlenecks." 2004. http://repositories.cdlib.org/cgi/viewcontent.cgi?article=1083&context=its.

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Thesis (Ph. D.)-- University of California, Berkeley, 2004.<br>Includes bibliographical references (leaves 46-47). Also available online via the University of California eLibrary website (http://repositories.cdlib.org/).
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Książki na temat "Traffic Congestion Reduction"

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Pollard, William S. Investigation of least cost approach to long term congestion reduction in urban areas. Center for Transportation Studies, University of Colorado at Denver, Civil Engineering Dept., 1992.

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Mullins, Gene. Proximate commuting: A demonstration project of a strategic commute trip reduction program. Washington State Dept. of Transportation, 1995.

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Commerce, United States Congress House Committee on. Employer trip reduction programs: Report (to accompany H.R. 325) (including cost estimate of the Congressional Budget Office). U.S. G.P.O., 1995.

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Great Britain. Department of the Environment, Transport and the Regions., ed. Tackling congestion and pollution: The government's first report under the Road Traffic Reduction (National Targets) Act 1998. DETR, 2000.

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US GOVERNMENT. An Act to Amend the Clean Air Act to Provide for an Optional Provision for the Reduction of Work-Related Vehicle Trips and Miles Travelled in Ozone Nonattainment Areas Designated as Severe, and for Other Purposes. U.S. G.P.O., 1995.

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Winick, Robert M. Examining the speed-flow-delay paradox in the Washington, DC region: Potential impacts of reduced traffic on congestion delay and potential for reductions in discretionary travel during peak periods, final report. U.S. Federal Highway Administration, 2008.

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Great Britain: Parliament: House of Commons. Road Traffic (Congestion Reduction) Bill. Stationery Office, The, 2008.

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Sloan, Alex L., and Connie F. Dorsey. Traffic Bottlenecks: Challenges and Reduction Strategies. Nova Science Publishers, Incorporated, 2012.

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Części książek na temat "Traffic Congestion Reduction"

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Kanonhuhwa, Tinashe Natasha, and Joel Chaeruka. "Traffic Congestion Reduction Measures for Mbudzi Roundabout, Harare." In The Urban Book Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45568-1_5.

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Oussedik, Sofiane, and Daniel Delahaye. "Reduction of air traffic congestion by genetic algorithms." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056927.

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Wahid, Abdul, A. C. S. Rao, and Dipti Goel. "Server Communication Reduction for GPS-Based Floating Car Data Traffic Congestion Detection Method." In Integrated Intelligent Computing, Communication and Security. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8797-4_43.

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Araki, Keizo, Jongseong Gwak, and Yoshihiro Suda. "Validation of Control Method to Improve Posture Stability of Narrow Tilting Vehicles Using Real-Vehicle Dynamic Tests." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_126.

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AbstractNarrow Tilting Vehicles (NTVs) have been proposed as a solution to traffic problems such as congestion and limited parking spaces. However, their small footprint can lead to a reduction in postural stability. To address this issue, NTVs have been designed to reduce the lateral acceleration experienced by occupants by tilting the vehicle body inwards during turns, depending on the driving situation. Three types of tilt control methods have been proposed for NTVs: direct tilt control (DTC), steering tilt control (STC), and combined steering and direct tilt control (SDTC). In this study,
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Pourhashem, Ghadir, and Tatiana Kováčiková. "Smart and Innovative Solutions for Maximizing Public Transport Ridership and Passengers’ Satisfaction: Case Study of the City of Žilina." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_47.

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Abstract Public transport and shared mobility services are widely acknowledged as the backbone of sustainable urban transportation in terms of reduction of traffic congestion, air pollution and noise and increasing traffic safety. These services play pivotal roles in achieving the objectives of EU Cities Mission and the European Green Deal ambition of net zero greenhouse gas emission by 2050. Alongside this, the evolution of emerging mobility concepts is also transforming the future of mobility landscape, which impose a paradigm shift towards smarter carbon-neutral mobility services. Therefore
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Jachero, Bryan, and Karina Bermeo. "A Practical and Cost-Effective Combination of GPS Data and Machine Learning Tools for Detecting Transportation Modes." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87065-1_18.

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Abstract This work proposes a novel methodology to determine the modes of transportation used in the city of Cuenca, Ecuador, based on geolocation data and machine learning. For this purpose, 354,096 mobility samples from 40 people are collected via their mobile phones, with the respective identification of the transportation mode used: pedestrian, bicycle, bus, tram, taxi, and private vehicle. These samples are used to train and validate supervised learning architectures: classification trees, weighted k-nearest neighbor classifier, support vector machines, and two-layer neural networks. The
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Lakshmi Narayanan, K., and N. Gopinath. "Intelligent Transportation Systems and Other Technologies for Congestion Reduction in Urban Areas Using Vanet." In Urban Mobility and Challenges of Intelligent Transportation Systems. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7984-4.ch003.

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Congestion fostered smart transit. Population growth, rural-to-urban migration, and economic development strain transit infrastructure. Traffic congestion, road safety, and environmental sustainability are enhanced with urban ITS. VANET-driven urban transport systems' communication, energy efficiency, and security are examined. Our simulations utilising Veins architecture and real traffic data show that protocols transport messages rapidly in changing traffic. Future intelligent transport systems would benefit from this technology. RSA and Chinese Remainder Theorem yield group, subgroup, and n
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Boopathi, Sampath. "Advancements in Machine Learning and AI for Intelligent Systems in Drone Applications for Smart City Developments." In Advances in Electronic Government, Digital Divide, and Regional Development. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9596-4.ch002.

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The chapter explores the integration of drones, machine learning, and artificial intelligence (AI) in smart city development. Drones can revolutionize urban planning, energy efficiency, noise reduction, environmental monitoring, traffic management, infrastructure inspection, public safety, data security, and privacy protection. AI-driven solutions enable data-driven decision-making for resource allocation, sustainability, and predictive modeling. AI optimizes flight paths for energy efficiency, noise reduction strategies enhance drone social acceptance, and autonomous drone navigation is cruci
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Gaikwad, Vijay, Apoorva Holkar, Tejas Hande, Priyanka Lokhande, and Vivek Badade. "Smart Traffic Light System Using Internet of Things." In Data Science and Intelligent Computing Techniques. Soft Computing Research Society, 2023. http://dx.doi.org/10.56155/978-81-955020-2-8-68.

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The rapid urbanization and increasing traffic density in metropolitan areas have led to several road safety and traffic management challenges. One of the key factors contributing to these issues is the inefficiency of traditional traffic light systems, which operate based on pre-determined schedules and fail to adapt to changing traffic conditions. In this research paper, we pro-pose a smart traffic light system that leverages advanced technologies such as Internet of Things (IoT), and machine learning to optimize traffic flow and enhance road safety. The proposed system incorporates real-time
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U., Vignesh, and Yoganand Parab. "AI Solutions for Delay Reduction in the Civil Aviation Industry." In New Innovations in AI, Aviation, and Air Traffic Technology. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1954-3.ch003.

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As the global aviation network expands, the urgent need to minimize flight delays becomes increasingly evident, given the potential disruptions and costs associated with delays exceeding 15 minutes. This survey investigates the crucial role of artificial intelligence (AI) in mitigating flight delays by enhancing traffic flow management, reducing congestion, and thereby improving operational efficiency and passenger satisfaction. AI-driven systems demonstrate significant promise, with initial findings indicating notable reductions in delays, operational enhancements, and enhanced passenger expe
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Streszczenia konferencji na temat "Traffic Congestion Reduction"

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Noguchi, Takahiro, Hiroyasu Ando, Ryunosuke Fukuzaki, Yumi Watahiki, and Isamu Takahara. "Reduction of Traffic Congestion by Using Chaotic Traffic Flow in a Scaled Traffic Model." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825336.

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Nagababu, K., A. Vanathi, R. Ratheesh, Chekuri Nalini, G. Karthikeyan, and F. Sangeetha Francelin Vinnarasi. "Traffic Congestion Reduction Using Fuzzy Optimization Scheme in Heterogeneous Vehicular Communication Network." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910907.

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Kheng, Teh Kean, Burra Venkata Durga Kumar, and Teh Jia Yew. "Intelligent Traffic Light System: Multi-Agent Intelligent Traffic Light System Using Fuzzy Logic Control for Urban Congestion Reduction." In 2025 IEEE 15th Symposium on Computer Applications & Industrial Electronics (ISCAIE). IEEE, 2025. https://doi.org/10.1109/iscaie64985.2025.11081005.

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Ware, Parth, Venkatesh Pednekar, Parth Kulkarni, Chinmay Huddar, and Mamta Bhamare. "Smart Traffic Management: A Deep Learning Approach for Congestion Reduction using YOLOV8 & RandomForest." In 2024 IEEE Conference on Engineering Informatics (ICEI). IEEE, 2024. https://doi.org/10.1109/icei64305.2024.10912141.

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Bikku, Thulasi, V. Lakshman Narayana, Arepalli Peda Gopi, and Sk Reshmi Khadherbhi. "Sensors Systems for Traffic Congestion Reduction Methodologies." In 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2019. http://dx.doi.org/10.1109/i-smac47947.2019.9032429.

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Lakshna, A., K. Ramesh, B. Prabha, D. Sheema, and K. Vijayakumar. "Machine learning Smart Traffic Prediction and Congestion Reduction." In 2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2021. http://dx.doi.org/10.1109/icses52305.2021.9633949.

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Purohit, Hemant, Dmitry Korzun, Anton Shabaev, and Anatoly Voronin. "Data Interleaving for Congestion Reduction in Mobile Traffic Transmission." In 2018 22nd Conference of Open Innovations Association (FRUCT). IEEE, 2018. http://dx.doi.org/10.23919/fruct.2018.8468262.

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Lin, Pei-Sung, Yaye Keita, Zhenyu Wang, Elzbieta Bialkowska-Jelinska, and Shubhankar Shindgikar. "Development of a Comprehensive Roadmap for Traffic Congestion Reduction." In International Conference on Transportation and Development 2025. American Society of Civil Engineers, 2025. https://doi.org/10.1061/9780784486207.020.

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Djahel, Soufiene, Adam Jones, Yassine Hadjadj-Aoul, and Ashfaq Khokhar. "CRITIC: A cognitive radio inspired road traffic congestion reduction solution." In 2018 Wireless Days (WD). IEEE, 2018. http://dx.doi.org/10.1109/wd.2018.8361711.

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Soomro, S., M. H. Miraz, A. Prasanth, and M. Abdullah. "Artificial Intelligence Enabled IoT: Traffic Congestion Reduction in Smart Cities." In Smart Cities Symposium 2018. Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1381.

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Raporty organizacyjne na temat "Traffic Congestion Reduction"

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Bigazzi, Alexander. Traffic Congestion Mitigation as an Emissions Reduction Strategy. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.131.

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Hartle, Jennifer C., Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, and Matt McGahan. Assessing Public Health Benefits of Replacing Freight Trucks with Cargo Cycles in Last Leg Delivery Trips in Urban Centers. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.1952.

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Increased urbanization, population growth, and demand for time-sensitive deliveries means increased freight movement in cities, which contributes to emissions, noise, and safety concerns. One innovative mode gaining widespread attention for urban deliveries is cargo cycles—bicycles adapted for freight delivery. Despite the recognized potential and possible success of transporting at least 25% of freight via cycle, research remains limited. This research investigates the potential of cargo cycle delivery for last mile freight in Oakland, California, with a focus on the West Oakland neighborhood
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Lucas, Brian. Impacts of Trade Facilitation on Carbon Emissions. Institute of Development Studies, 2021. http://dx.doi.org/10.19088/k4d.2021.039.

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There is very little evidence that trade facilitation measures have a significant impact on carbon emissions, except in the case of trucks at land border crossings, where there is good evidence that trade facilitation can lead to significant reductions in emissions. There is good evidence that trade facilitation measures at land border crossings can reduce traffic congestion and waiting times for trucks, but only limited evidence of the impact of these improvements on carbon emissions. Computer models of inspection stations at the USA-Mexico border suggest that improving the efficiency of land
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Influencing Travel Behavior via an Open-Source Platform Phase 3: Transforming Multimodal Travel Behavior Data to Support Traffic Congestion Reduction Strategies. University of South Florida, 2024. https://doi.org/10.5038/cutr-nicr-y3-3-7.

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