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Evaluating performance of selected vehicle following models using trajectory data under mixed traffic conditions
This research work is focused on modeling vehicle following behavior under mixed traffic
conditions. Vehicle-following behavior can be potentially utilized in building real-time …
conditions. Vehicle-following behavior can be potentially utilized in building real-time …
Modeling vehicle collision instincts over road midblock using deep learning
The present research aims to understand the safety over the midblock road sections and
proposes a safety framework using the conventional Time to Collision (TTC) measure. In the …
proposes a safety framework using the conventional Time to Collision (TTC) measure. In the …
[HTML][HTML] Investigating performance of a novel safety measure for assessing potential rear-end collisions: An insight representing a scenario in develo** nation
Road safety is one of the major concerns in the ever-growing traffic network. In addressing
this, surrogate safety measures play a critical role in identifying collision instincts. Besides …
this, surrogate safety measures play a critical role in identifying collision instincts. Besides …
[PDF][PDF] A simulation study for improving the traffic flow efficiency of an intersection coupled with BRT
This study mainly focuses on improving traffic flow efficiency of Bhathena intersection
coupled with BRT system located in the city of Surat, India. With the help of field data, the …
coupled with BRT system located in the city of Surat, India. With the help of field data, the …
[PDF][PDF] Incident forecasting model for motorcycle driving based on IoT and artificial intelligence
EA Cárdenas-Lancheros… - Indones. J. Electr. Eng …, 2021 - pdfs.semanticscholar.org
Internet of things (IoT) and artificial intelligence provide more and more solutions to the
exercise of capturing data effectively, taking them through processing and analysis stages to …
exercise of capturing data effectively, taking them through processing and analysis stages to …
Replicating driving behavior under heterogeneous non-lane-based traffic environment: A supervised machine learning based methodology
Due to intrinsic complexity under mixed traffic conditions, the car-following as well as lane-
change models developed for homogeneous traffic conditions are not directly applicable, as …
change models developed for homogeneous traffic conditions are not directly applicable, as …
[PDF][PDF] Modelo de pronóstico de incidentes en conducción de motocicletas basado en IOT e inteligencia artificial.
EA Cárdenas Lancheros - 2021 - repository.udistrital.edu.co
RESUMEN El Internet de las Cosas y la Inteligencia Artificial aportan cada vez más
soluciones al ejercicio de captar datos de manera efectiva, llevándolos por etapas de …
soluciones al ejercicio de captar datos de manera efectiva, llevándolos por etapas de …