[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …
information for urban traffic control and management strategies. However, due to the …
When intelligent transportation systems sensing meets edge computing: Vision and challenges
The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …
that can leverage the power of big data to benefit many aspects of our daily life, such as …
[HTML][HTML] The effects of COVID-19 epidemic on public transport ridership and frequencies. A case study from Tampere, Finland
H Tiikkaja, R Viri - Transportation Research Interdisciplinary Perspectives, 2021 - Elsevier
The COVID-19 epidemic has created unforeseen effects in public transport in cities around
the world, including Tampere, where a 70% decrease in the number of passengers occurred …
the world, including Tampere, where a 70% decrease in the number of passengers occurred …
How does ridesplitting reduce emissions from ridesourcing? A spatiotemporal analysis in Chengdu, China
Ridespitting, which enables riders with similar routes to share a ridesourcing trip, is a
promising transportation technology to reduce traffic congestions and air pollutions. This …
promising transportation technology to reduce traffic congestions and air pollutions. This …
Estimating crowd density with edge intelligence based on lightweight convolutional neural networks
Crowd stampedes and incidents are critical threats to public security that have caused
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …
Multimodal traffic speed monitoring: A real-time system based on passive Wi-Fi and Bluetooth sensing technology
Traffic speed is one of the critical indicators reflecting traffic status of roadway networks. The
abnormality and sudden changes of traffic speed indicate the occurrence of traffic …
abnormality and sudden changes of traffic speed indicate the occurrence of traffic …
Illumination and temperature-aware multispectral networks for edge-computing-enabled pedestrian detection
Accurate and efficient pedestrian detection is crucial for the intelligent transportation system
regarding pedestrian safety and mobility, eg, Advanced Driver Assistance Systems, and …
regarding pedestrian safety and mobility, eg, Advanced Driver Assistance Systems, and …
A survey of technologies and recent developments for sustainable smart cycling
Among the problems resulted from the continuous urbanization process, inefficient urban
mobility and high pollution levels have been complex challenges that have demanded a lot …
mobility and high pollution levels have been complex challenges that have demanded a lot …
Bandit-based data poisoning attack against federated learning for autonomous driving models
Abstract In Internet of Things (IoT) applications, federated learning is commonly used for
distributedly training models in a privacy-preserving manner. Recently, federated learning is …
distributedly training models in a privacy-preserving manner. Recently, federated learning is …
Efficacy of bluetooth-based data collection for road traffic analysis and visualization using big data analytics
Effective management of daily road traffic is a huge challenge for traffic personnel. Urban
traffic management has come a long way from manual control to artificial intelligence …
traffic management has come a long way from manual control to artificial intelligence …