Catalyzing Urban Mobility: Innovative Solutions for Mitigating Traffic Congestion in Emerging Nations
Main Article Content
Abstract
Traffic congestion poses a significant challenge in urban areas of emerging nations, such as India. The increase in urban population and the expansion of the middle-class demographic are key factors that contribute substantially to the escalating quantity of cars within metropolitan areas. The presence of traffic congestion on roadways ultimately leads to a decrease in the speed of traffic, resulting in extended journey times. Consequently, this issue emerges as a prominent concern in urban areas. This study introduces an advanced traffic control system designed to facilitate the seamless passage of emergency vehicles. Every individual vehicle is equipped with a specialized radio frequency gadget. Radio frequency (RF) transmitter (Tx) and receiver (Rx) modules are utilized in ambulances and traffic signals, respectively. The system observes and records the movement of cars as they traverse a designated route within a predetermined time frame. Additionally, it is responsible for assessing the level of network congestion, which subsequently influences the duration of the green light for the given pathway. When an ambulance traverses a roadway, it activates the green signal light until it has completely cleared the signalized zone.
Downloads
Metrics
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
References
M. N. Kabir, Y. M. Alginahi, A. I. Mohamed, “Modeling and simulation of traffic flow: a case study-first ring road in downtown Madinah”, International journal of software engineering and computer systems, vol. 2, pp. 89-107, 2016.
D.S. Mohit and Prerna, “Smart traffic control system using PLC and SCADA”, International Journal of Innovative Research in Science, Engineering and Technology. vol. 1, no. 2, pp. 169- 172, 2012.
E Samy and A. Mahmoud, “Real-time weather notification system using intelligent vehicles and smart sensors”, IEEE 6th International Conference on Mobile Ad-hoc and Sensor Systems, pp. 627 – 632, 2009.
T. Malik and S. Yi, “Adaptive traffic light control with wireless sensor networks”, 72nd IEEE Vehicular Technology Conference Fall (VTC 2010-Fall), pp. 187-191, 2010.
W Chen, L Chen, Z Chen and S Tu, “A real time dynamic traffic control system based on wireless sensor network”, International Conference on Parallel Processing Workshops (ICPPW'05), pp. 258 – 264, 2005.
K. M. Alhendawi, “A new framework for predicting the impact of traffic on the performance of mobile ad-hoc network (MANET): using regression as data mining approach”, International Journal of Software Engineering and Computer Systems, vol. 3, pp. 88-105, 2017.
A. S. Sadiq et al., “A developed network layer handover based wireless networks”, International Journal of Software Engineering and Computer Systems, vol. 1, pp. 113-122, 2015.