Work

Analyzing Traffic Patterns in Izmir: A Study on Busy Hours and Congestion

Year: 2024

Type: conference-paper

Source: Innovations in Intelligent Systems and Applications Conference (ASYU)

DOI: 10.1109/asyu62119.2024.10757054

Authors: Ali Ozan Başoğul, Hamza Çekirdek, Kaan Nakipoğlu, Semih Yağcı, Alper Demir

Institution: İzmir University of Economics

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4406269997

FWCI:

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