Abstract
Traffic congestion is a common day-to-day trouble in many countries, especially large cities. Gradually, even medium-sized and small towns are experiencing such problems and suffering from their negative effects. Importantly, traffic and crowd congestion largely spoils a region's economic and social status. For commuters, traffic congestion gives rise to excess travel costs, duration, and travel discomfort. From a traffic management perspective, traffic congestion leads to more expenses in the traffic system for handling inconvenient road networks. At the social level, traffic congestion causes road accidents, environmental damages and pollution. This article provides an overview of current time's traffic and crowd management system through a review of literature on stochastic queuing models for congestion and congestion control. In particular, we will focus on issues related to tackling the practical need and available features, and alleviation of daily traffic blockages. Dealing in terms of the concepts taken from Operation Research, the most important techniques are analytical queuing model application, stochastic optimality, and robust effective optimal solutions to common road congestion problems.
Publisher
International Consortium of Academic Professionals for Scientific Research
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Unveiling Novel Approaches: Machine Learning Optimization for Circularly Polarized Antennas Tailored for 5G Communication;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
2. Ease Delivery: A Next-Gen Delivery Management Solution;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
3. RhythmQuest: Unifying Indian Music Classification and Prediction with Hybrid Deep Learning Techniques;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
4. Overview of Electric Discharge Machining of MachineTooled Ceramics and Ceramic-Based Composites;REST Journal on Emerging trends in Modelling and Manufacturing;2023-06-01
5. Artificial Intelligence Accelerated Transformation in The Healthcare Industry;Amity Journal of Professional Practices;2023-05-08