A vehicular network–based intelligent transport system for smart cities
Smart cities and the Internet of Things have enabled the integration of communicating devices for efficient decision-making. Notably, traffic congestion is one major problem faced by daily commuters in urban cities. In developed countries, specialized sensors are deployed to gather traffic informati...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719888845 |
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| _version_ | 1850237508332290048 |
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| author | Tayyaba Zaheer Asad Waqar Malik Anis Ur Rahman Ayesha Zahir Muhammad Moazam Fraz |
| author_facet | Tayyaba Zaheer Asad Waqar Malik Anis Ur Rahman Ayesha Zahir Muhammad Moazam Fraz |
| author_sort | Tayyaba Zaheer |
| collection | DOAJ |
| description | Smart cities and the Internet of Things have enabled the integration of communicating devices for efficient decision-making. Notably, traffic congestion is one major problem faced by daily commuters in urban cities. In developed countries, specialized sensors are deployed to gather traffic information to predict traffic patterns. Any traffic updates are shared with the commuters via the Internet. Such solutions become impracticable when physical infrastructure and Internet connectivity are either non-existent or very limited. In case of developing countries, no roadside units are available and Internet connectivity is still an issue in remote areas. In this article, we propose an intelligent vehicular network framework for smart cities that enables route selection based on real-time data received from neighboring vehicles in an ad hoc fashion. We used Wi-Fi Direct–enabled Android-based smartphones as embedded devices in vehicles. We used a vehicular ad hoc network to implement an intelligent transportation system. Data gathering and preprocessing were carried on different routes between two metropolitan cities of a developing country. The framework was evaluated on different fixed route-selection and dynamic route-selection algorithms in terms of resource usage, transmission delay, packet loss, and overall travel time. Our results show reduced travel times of up to 33.3% when compared to a traditional fixed route-selection algorithm. |
| format | Article |
| id | doaj-art-1ccbe16bd9d748a78df80e7baf5cb43e |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-1ccbe16bd9d748a78df80e7baf5cb43e2025-08-20T02:01:43ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-11-011510.1177/1550147719888845A vehicular network–based intelligent transport system for smart citiesTayyaba Zaheer0Asad Waqar Malik1Anis Ur Rahman2Ayesha Zahir3Muhammad Moazam Fraz4School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, PakistanDepartment of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, PakistanDepartment of Computer Science, University of Warwick, Coventry, UKSmart cities and the Internet of Things have enabled the integration of communicating devices for efficient decision-making. Notably, traffic congestion is one major problem faced by daily commuters in urban cities. In developed countries, specialized sensors are deployed to gather traffic information to predict traffic patterns. Any traffic updates are shared with the commuters via the Internet. Such solutions become impracticable when physical infrastructure and Internet connectivity are either non-existent or very limited. In case of developing countries, no roadside units are available and Internet connectivity is still an issue in remote areas. In this article, we propose an intelligent vehicular network framework for smart cities that enables route selection based on real-time data received from neighboring vehicles in an ad hoc fashion. We used Wi-Fi Direct–enabled Android-based smartphones as embedded devices in vehicles. We used a vehicular ad hoc network to implement an intelligent transportation system. Data gathering and preprocessing were carried on different routes between two metropolitan cities of a developing country. The framework was evaluated on different fixed route-selection and dynamic route-selection algorithms in terms of resource usage, transmission delay, packet loss, and overall travel time. Our results show reduced travel times of up to 33.3% when compared to a traditional fixed route-selection algorithm.https://doi.org/10.1177/1550147719888845 |
| spellingShingle | Tayyaba Zaheer Asad Waqar Malik Anis Ur Rahman Ayesha Zahir Muhammad Moazam Fraz A vehicular network–based intelligent transport system for smart cities International Journal of Distributed Sensor Networks |
| title | A vehicular network–based intelligent transport system for smart cities |
| title_full | A vehicular network–based intelligent transport system for smart cities |
| title_fullStr | A vehicular network–based intelligent transport system for smart cities |
| title_full_unstemmed | A vehicular network–based intelligent transport system for smart cities |
| title_short | A vehicular network–based intelligent transport system for smart cities |
| title_sort | vehicular network based intelligent transport system for smart cities |
| url | https://doi.org/10.1177/1550147719888845 |
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