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Jabbarpour Mohammad Reza Marefat Alireza Jalooli Ali Zarrabi Houman 《Wireless Networks》2019,25(1):335-354
Wireless Networks - In recent times, vehicular network research has attracted the attention of both researchers and the industry partly due to its potential applications in efficient traffic... 相似文献
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Correction to: Cloud-based vehicular networks: a taxonomy,survey, and conceptual hybrid architecture
Jabbarpour Mohammad Reza Marefat Alireza Jalooli Ali Zarrabi Houman 《Wireless Networks》2019,25(2):913-913
Wireless Networks - The original version of this article unfortunately contained a mistake in the title. The correct title has been published with this erratum. 相似文献
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Erfan Shaghaghi Mohammad Reza Jabbarpour Rafidah Md Noor Hwasoo Yeo Jason J. Jung 《浙江大学学报:C卷英文版》2017,18(3):373-393
The importance of using adaptive traffic signal control for figuring out the unpredictable traffic congestion in today’s metropolitan life cannot be overemphasized. The vehicular ad hoc network (VANET), as an integral component of intelligent transportation systems (ITSs), is a new potent technology that has recently gained the attention of academics to replace traditional instruments for providing information for adaptive traffic signal controlling systems (TSCSs). Meanwhile, the suggestions of VANET-based TSCS approaches have some weaknesses: (1) imperfect compatibility of signal timing algorithms with the obtained VANET-based data types, and (2) inefficient process of gathering and transmitting vehicle density information from the perspective of network quality of service (QoS). This paper proposes an approach that reduces the aforementioned problems and improves the performance of TSCS by decreasing the vehicle waiting time, and subsequently their pollutant emissions at intersections. To achieve these goals, a combination of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications is used. The V2V communication scheme incorporates the procedure of density calculation of vehicles in clusters, and V2I communication is employed to transfer the computed density information and prioritized movements information to the road side traffic controller. The main traffic input for applying traffic assessment in this approach is the queue length of vehicle clusters at the intersections. The proposed approach is compared with one of the popular VANET-based related approaches called MC-DRIVE in addition to the traditional simple adaptive TSCS that uses the Webster method. The evaluation results show the superiority of the proposed approach based on both traffic and network QoS criteria. 相似文献
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