Traffic control at smart road intersections
This paper discusses the challenges and issues faced in traffic control systems, specifically in intersections and the impact on autonomous vehicles. The traditional traffic control system, which uses fixed traffic signal timings, is inefficient and leads to traffic delays, excessive fuel usage and...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1666672023-05-12T15:36:32Z Traffic control at smart road intersections Ng, Jun Han Huang Shell Ying School of Computer Science and Engineering ASSYHUANG@ntu.edu.sg Engineering::Computer science and engineering This paper discusses the challenges and issues faced in traffic control systems, specifically in intersections and the impact on autonomous vehicles. The traditional traffic control system, which uses fixed traffic signal timings, is inefficient and leads to traffic delays, excessive fuel usage and emissions. Intersection ‘right of way’ can be optimised to prevent vehicles from ceasing to move entirely. Deadlocks, in particular, pose as another significant challenge in traffic control systems. The paper proposes a traffic network system that incorporates communication between the network and the vehicles, reservation-occupancy constraints instead of traffic lights, better intersection usage and resolves deadlocks by calculating the alternate best possible path for vehicles. The paper also presents a literature review of traffic light management algorithms and wireless communication-based traffic management systems, and their limitations. The proposed traffic network system provides a scalable and expandable solution to traffic control while assuring real-time applications to autonomous vehicles. Bachelor of Engineering (Computer Science) 2023-05-08T06:51:14Z 2023-05-08T06:51:14Z 2023 Final Year Project (FYP) Ng, J. H. (2023). Traffic control at smart road intersections. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166667 https://hdl.handle.net/10356/166667 en application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Ng, Jun Han Traffic control at smart road intersections |
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This paper discusses the challenges and issues faced in traffic control systems, specifically in intersections and the impact on autonomous vehicles. The traditional traffic control system, which uses fixed traffic signal timings, is inefficient and leads to traffic delays, excessive fuel usage and emissions. Intersection ‘right of way’ can be optimised to prevent vehicles from ceasing to move entirely. Deadlocks, in particular, pose as another significant challenge in traffic control systems. The paper proposes a traffic network system that incorporates communication between the network and the vehicles, reservation-occupancy constraints instead of traffic lights, better intersection usage and resolves deadlocks by calculating the alternate best possible path for vehicles. The paper also presents a literature review of traffic light management algorithms and wireless communication-based traffic management systems, and their limitations. The proposed traffic network system provides a scalable and expandable solution to traffic control while assuring real-time applications to autonomous vehicles. |
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Huang Shell Ying |
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Huang Shell Ying Ng, Jun Han |
format |
Final Year Project |
author |
Ng, Jun Han |
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Ng, Jun Han |
title |
Traffic control at smart road intersections |
title_short |
Traffic control at smart road intersections |
title_full |
Traffic control at smart road intersections |
title_fullStr |
Traffic control at smart road intersections |
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Traffic control at smart road intersections |
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traffic control at smart road intersections |
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Nanyang Technological University |
publishDate |
2023 |
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https://hdl.handle.net/10356/166667 |
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1770564638778327040 |