Vehicle To Infrastructure Communication For Adaptive Traffic Management

Abstract

Congestion problem is increased in a dramatically way due to increased Population and travel means in Khartoum. The associated consequences for this problem made it extremely bothering. Since the expansion of the traffic network is no longer a socially attainable solution, the existing control systems have to be used in a more intelligent way in order to increase the traffic throughput and decrease total travel times Intelligent transportation systems ITS had been developed to overcome the Congestion problem, undertake to identify the real number of cars present in the street, but there is some limitation arises (existing of blind spots counting the car more than one and such problems). So the necessity for smarter ITS technology based on an elegant way to identify the real number of cars is emerged via using RFID technology.

A Radio frequency Identification (RFID) reader is mounted in the vicinity of the traffic signal, which communicates with the microcontroller and interrogates the RFID tags on each RFID tagged vehicle at the roadway intersection. The RFID reader in combination with the processor counts the number of RFID tagged vehicles present in each traffic flow direction at the roadway intersection. The implemented system has several good features such as prioritizing emergency cars. Moreover, an adaptive time adjustment of the traffic signal has been simulated using visual basic.

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APA

Abdelkarim, W (2021). Vehicle To Infrastructure Communication For Adaptive Traffic Management. Afribary. Retrieved from https://afribary.com/works/vehicle-to-infrastructure-communication-for-adaptive-traffic-management

MLA 8th

Abdelkarim, Waleed "Vehicle To Infrastructure Communication For Adaptive Traffic Management" Afribary. Afribary, 19 May. 2021, https://afribary.com/works/vehicle-to-infrastructure-communication-for-adaptive-traffic-management. Accessed 10 Nov. 2024.

MLA7

Abdelkarim, Waleed . "Vehicle To Infrastructure Communication For Adaptive Traffic Management". Afribary, Afribary, 19 May. 2021. Web. 10 Nov. 2024. < https://afribary.com/works/vehicle-to-infrastructure-communication-for-adaptive-traffic-management >.

Chicago

Abdelkarim, Waleed . "Vehicle To Infrastructure Communication For Adaptive Traffic Management" Afribary (2021). Accessed November 10, 2024. https://afribary.com/works/vehicle-to-infrastructure-communication-for-adaptive-traffic-management

Document Details
Waleed Abdallah Abdelkarim Field: Computer Science Type: Dissertation 111 PAGES (16906 WORDS) (pdf)