IoT in smart cities: A survey of technologies, practices and challenges
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
[HTML][HTML] Sustainable transit vehicle tracking service, using intelligent transportation system services and emerging communication technologies: A review
R Salazar-Cabrera, ÁP de la Cruz… - Journal of Traffic and …, 2020 - Elsevier
The most salient problems of transit vehicle service in Latin American intermediate cities
include: the high number of passengers involved in traffic accidents; traffic congestion …
include: the high number of passengers involved in traffic accidents; traffic congestion …
[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …
transportation. Nowadays, mobility data have become increasingly available with the …
Bustr: Predicting bus travel times from real-time traffic
We present BusTr, a machine-learned model for translating road traffic forecasts into
predictions of bus delays, used by Google Maps to serve the majority of the world's public …
predictions of bus delays, used by Google Maps to serve the majority of the world's public …
Using smart card data to develop origin-destination matrix-based business analytics for bus rapid transit systems: case study of Jakarta, Indonesia
Bus rapid transit systems (BRT) have been an indispensable public transportation pillar,
especially in densely populated regions. Accurate insight into the BRT network's utilization is …
especially in densely populated regions. Accurate insight into the BRT network's utilization is …
Self-correcting algorithm for estimated time of arrival of emergency responders on the highway
Edge computing is one of the key features of the 5G technology-scape that is realizing new
and enhanced automotive use cases for improving road safety and emergency response …
and enhanced automotive use cases for improving road safety and emergency response …
Transit-hub: A smart public transportation decision support system with multi-timescale analytical services
Public transit is a critical component of a smart and connected community. As such, citizens
expect and require accurate information about real-time arrival/departures of transportation …
expect and require accurate information about real-time arrival/departures of transportation …
Artificial Intelligence and loT for Smart Cities
SA Bhosale - Smart Urban Computing Applications, 2023 - taylorfrancis.com
According to United Nations predictions by 2050, the world's population will reach 9.7
billion, with 70% living in urban areas. Resources like energy, water supply, drainage, and …
billion, with 70% living in urban areas. Resources like energy, water supply, drainage, and …
Travel time prediction based on route links' similarity
Accurate travel time prediction allows passengers to schedule their journeys efficiently.
However, cyclical factors (time intervals of the day, weather conditions, and holidays) …
However, cyclical factors (time intervals of the day, weather conditions, and holidays) …
Big data processing and analysis on the impact of COVID-19 on public transport delay
Abstract The coronavirus disease 2019 (COVID-19) pandemic that started at the beginning
of the year 2020 has significantly disrupted people's daily life around the world …
of the year 2020 has significantly disrupted people's daily life around the world …