Article citationsMore>>
Chen, Z., Khemmar, R., Decoux, B., Atahouet, A., & Ertaud, J.-Y. (2019). Real Time Object Detection, Tracking, and Distance and Motion Estimation Based on Deep Learning: Application to Smart Mobility. Eighth International Conference on Emerging Security Technologies (pp. 1-6). Institute of Electrical and Electronics Engineers.
https://doi.org/10.1109/EST.2019.8806222
has been cited by the following article:
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TITLE:
Available Technologies for Mass Transport Modes in Smart Cities
AUTHORS:
Luiz Rodrigo Bonette, João Gilberto Mendes dos Reis
KEYWORDS:
Mass Transit, Smart Cities, Technologies, Review
JOURNAL NAME:
Modern Economy,
Vol.13 No.8,
August
17,
2022
ABSTRACT: Mass transit is essential to the movement of people
in urban cities. A city that intends to be smart needs to integrate mass
transit systems—buses, tramways, subways, and trains—with Intelligent
Transportation Systems (ITS) to improve urban transport services. The objective
of this study is to analyze the relation of mass transportation modes in smart
cities with the technology applied to them. Thus, a literature review was
conducted to identify scientific publications about the theme, and the textual
mechanic analysis using Iramuteq software 4.0.3 was applied. This study cites
the technologies incorporated into mass transportation modes presented in
literature and describes the current scenario of smart and sustainable mobility
for public transportation.