Smart City Gnosys
Smart city article details
| Title | Analytical Study For Vehicle Mobility Modeling |
|---|---|
| ID_Doc | 9461 |
| Authors | Ben-Othman J.; Mokdad L. |
| Year | 2023 |
| Published | Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023 |
| DOI | http://dx.doi.org/10.1109/WINCOM59760.2023.10322951 |
| Abstract | In today's urbanized world, cities are grappling with new challenges arising from population growth and rapid urbanization. Among these challenges, mobility stands out as a significant concern, as many cities were not initially designed to accommodate the surge in population. Enhancing mobility within smart cities has become a crucial endeavor in order to mitigate traffic congestion and promote sustainability by reducing greenhouse gas emissions. Additionally, improving mobility in smart cities contributes to enhancing the overall quality of life for citizens. Addressing vehicle behavior is crucial in reducing traffic congestion and improving commuting efficiency. Despite having robust infrastructures, disruptive driving habits such as aggressive driving, improper lane usage, and non-compliance with traffic rules can hinder the flow of traffic. By promoting responsible and considerate driving practices, we can optimize traffic flow and create a more efficient and stress-free commuting experience for individuals. Understanding the dynamics of mobility on highways is crucial for identifying the causes of traffic congestion. By analyzing these patterns, valuable insights can be gained, leading to the development of effective solutions for improving traffic flow. This study aims to investigate these aspects and propose strategies to contribute to overall mobility enhancements. To achieve this goal, a novel stochastic model based on the product form that accurately represents overtaking behaviors on highways is presented in this study. The model offers valuable insights into the dynamics of overtaking and provides a comprehensive understanding of this critical aspect of highway traffic. The paper presents a detailed model description and numerical resolution to calculate rewards such as delays and congestion. © 2023 IEEE. |
| Author Keywords | Markov chains; Mobility management; Performance evaluation; Simulations; Smart cities |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
41695  | 0.934 | Ben Othman J.; Mokdad L. | Performance Analysis To Evaluate Overtaking Behavior On Highways | Simulation Modelling Practice and Theory, 124 (2023) |
| 8314 | 0.881 | Anjum M.; Shahab S.; Dimitrakopoulos G.; Guye H.F. | An In-Vehicle Behaviour-Based Response Model For Traffic Monitoring And Driving Assistance In The Context Of Smart Cities | Electronics (Switzerland), 12, 7 (2023) |
| 41962 | 0.879 | Das D.; Bhattacharjee S.; Chakraborty S.; Mitra B.; Das S.K. | Pervasive Sensing To Correlate Vehicle Driving Behavior With City-Scale Traffic Dynamics | IEEE Pervasive Computing (2025) |
| 46175 | 0.877 | Rodrigues P.; Real E.; Barbosa I.; Durães L. | Rethinking Smart Mobility: A Systematic Literature Review Of Its Effects On Sustainability | Smart Innovation, Systems and Technologies, 337 SIST (2023) |
| 34056 | 0.877 | Mutambik I. | Iot-Enabled Adaptive Traffic Management: A Multiagent Framework For Urban Mobility Optimisation | Sensors, 25, 13 (2025) |
| 51664 | 0.875 | Mahrez Z.; Sabir E.; Badidi E.; Saad W.; Sadik M. | Smart Urban Mobility: When Mobility Systems Meet Smart Data | IEEE Transactions on Intelligent Transportation Systems, 23, 7 (2022) |
| 44468 | 0.874 | Dmitrieva E.; Pathani A.; Pushkarna G.; Acharya P.; Rana M.; Surekha P. | Real-Time Traffic Management In Smart Cities: Insights From The Traffic Management Simulation And Impact Analysis | BIO Web of Conferences, 86 (2024) |
| 54773 | 0.872 | Musta E.; Elmazi D.; Elmazi K.; Mehmeti F.; Hidri F. | Testing Intelligent Traffic Control Solutions Efficiency In Reducing Traffic And Pollution In Tirana | 2024 International Workshop on Quantum and Biomedical Applications, Technologies, and Sensors, Q-BATS 2024 (2024) |
| 51233 | 0.872 | McQueen B.; Safi A.; Alkheyaili S. | Smart Mobility: Using Technology To Improve Transportation In Smart Cities | Smart Mobility: Using Technology to Improve Transportation in Smart Cities (2024) |
| 54093 | 0.869 | Chandra S. | Sustainable Urban Mobility And Smart Traffic Management: Balancing Optimization With Environmental Sustainability Goals | Machine Learning and Robotics in Urban Planning and Management (2025) |