Traffic congestion forecasting using multilayered deep neural network
This study proposes a multilayered deep neural network (MLDNN) and a congestion index
(CI) based on traffic density factor to forecast traffic congestion directly. Data were collected …
(CI) based on traffic density factor to forecast traffic congestion directly. Data were collected …
[HTML][HTML] City-Level Integrated Traffic Management with User Preferences Under Connected Environment
H Yang, K Oguchi - Sustainability, 2024 - mdpi.com
In transportation systems, road users have diverse preferences when planning their trips
and responding to traffic conditions in a large city. Connected vehicles can capture the …
and responding to traffic conditions in a large city. Connected vehicles can capture the …
[PDF][PDF] User experience and expectations of streetscape: a planning framework for urban streets in India
Streets are an integral part of the urban fabric which weave various functions like social
space, commercial space, cultural space, as well as a channel of transportation for various …
space, commercial space, cultural space, as well as a channel of transportation for various …
Traffic prediction system using IoT cluster based evolutionary under sampling approach
M Prathilothamai, V Viswanathan - International Journal on Artificial …, 2023 - World Scientific
Road traffic is increasing nowadays due to the rapid growth of vehicle usage, which
necessitates highly accurate traffic prediction systems. The traffic data is time-series data …
necessitates highly accurate traffic prediction systems. The traffic data is time-series data …
Traffic congestion prediction using categorized vehicular speed data
Traffic congestion has become a problem which is associated with our day-to-day life.
Industrialization, urbanization, and the increasing population of cities have the main role in …
Industrialization, urbanization, and the increasing population of cities have the main role in …
indonesia Analisis Pengaruh Pelebaran Jalan Terhadap Volume Lalu Lintas Di Kota Batam: Studi Kasus Jalan Sudirman
FG Putra, YA Sari - Pilar, 2023 - jurnal.polsri.ac.id
Masalah utama yang paling umum dihadapi oleh kota-kota metropolitan saat ini adalah
kemacetan lalu lintas. Faktor-faktor seperti urbanisasi dan jumlah kendaraan yang tinggi di …
kemacetan lalu lintas. Faktor-faktor seperti urbanisasi dan jumlah kendaraan yang tinggi di …
Mitigating traffic congestion using intelligent transportation systems
W Mulbah, N Himanshu, A Nautiyal - AIP Conference Proceedings, 2024 - pubs.aip.org
The demand for transportation by the mobility of humans and materials from one location to
another has created the need for not just the provision of transport facilities but also efficient …
another has created the need for not just the provision of transport facilities but also efficient …
Bi-State Prediction Network Model for Mixed Traffic Congestion Prediction
Forecasting traffic congestion has become an important issue than ever before. Information
provided by traffic congestion prediction methods becomes helpful to traffic management …
provided by traffic congestion prediction methods becomes helpful to traffic management …
Deep Learning Approach for Traffic Congestion Sound Classification using Circular Neural Networks
MA Muthi, PH Gunawan - Sinkron: jurnal dan penelitian teknik …, 2024 - jurnal.polgan.ac.id
Traffic congestion has become one of the main problems that occur in big cities around the
world. Traffic congestion also has a negative impact if not handled seriously. Traffic …
world. Traffic congestion also has a negative impact if not handled seriously. Traffic …
[PDF][PDF] MODELLING AND PREDICTING CAR FOLLOWING BEHAVIOR IN CONNECTED VEHICLES: A MACHINE LEARNING APPROACH
R CAR, B OWING - 2024 - researchgate.net
NEAR EAST UNIVERSITY INSTITUTE OF GRADUATE STUDIES DEPARTMENT OF CIVIL
ENGINEERING MODELLING AND PREDICTING CAR FOLLOWING BEHAV Page 1 NEAR …
ENGINEERING MODELLING AND PREDICTING CAR FOLLOWING BEHAV Page 1 NEAR …