Framework for Passenger Seat Availability Using Face Detection in Passenger Bus

07/12/2020 ∙ by Khawar Islam, et al. ∙ 0

Advancements in Intelligent Transportation System (IES) improve passenger traveling by providing information systems for bus arrival time and counting the number of passengers and buses in cities. Passengers still face bus waiting and seat unavailability issues which have adverse effects on traffic management and controlling authority. We propose a Face Detection based Framework (FDF) to determine passenger seat availability in a camera-equipped bus through face detection which is based on background subtraction to count empty, filled, and total seats. FDF has an integrated smartphone Passenger Application (PA) to identify the nearest bus stop. We evaluate FDF in a live test environment and results show that it gives 90 potential to address traffic management concerns and assist passengers to save their valuable time

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

page 6

page 7

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.