Catalyzing Urban Mobility: Innovative Solutions for Mitigating Traffic Congestion in Emerging Nations

Main Article Content

K. Anuradha
Manga Sayammagari
Cidugu Soundharya Goud

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

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Anuradha, K., Sayammagari, M., & Goud, C. S. (2022). Catalyzing Urban Mobility: Innovative Solutions for Mitigating Traffic Congestion in Emerging Nations. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 13(03), 1526–1530. https://doi.org/10.17762/turcomat.v13i03.14242
Section
Research Articles

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.