JOURNAL ARTICLE

SMART CITY TRAFFIC CONTROL SYSTEM

A SatheeshkumarM. AbiramiHari Thirunavukkarsu ASree Vignesh SG. Manavaalan

Year: 2023 Journal:   Journal of Trends in Computer Science and Smart Technology Vol: 5 (2)Pages: 146-155

Abstract

Every city in the downtown areas around the world faces a major problem due to heavy traffic, especially during the peak hours. Traditional traffic signals used in manging the traffic allots a fixed time for managing the traffic in a junction of a four way or a two-way crossroads and cannot adjust to account for changes in traffic. The proposed system provides a scheduled crossing time that is automatically adjusted based on the traffic. A long green light is assigned using the proposed to the particular side of the crossroad that faces heavy traffic. For this the suggested model uses IR sensors installed in every 5 meters of the road to detect objects.

Keywords:
Downtown Traffic bottleneck Heavy traffic Traffic optimization Traffic signal Floating car data Transport engineering Traffic congestion reconstruction with Kerner's three-phase theory Computer science Traffic system Control (management) Real-time computing Traffic wave Road traffic Traffic congestion Geography Artificial intelligence Engineering

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
15
Refs
0.06
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Parking Systems Research
Physical Sciences →  Engineering →  Building and Construction
IoT and GPS-based Vehicle Safety Systems
Physical Sciences →  Engineering →  Mechanical Engineering
Impact of Light on Environment and Health
Physical Sciences →  Environmental Science →  Global and Planetary Change

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.