Harnessing social interactions on twitter for smart transportation using machine learning

N Chaturvedi, D Toshniwal, M Parida - … and Innovations: 16th IFIP WG 12.5 …, 2020 - Springer
Twitter is generating a large amount of real-time data in the form of microblogs that has
potential knowledge for various applications like traffic incident analysis and urban planning …

[PDF][PDF] Automatic incident detection along freeways using spatiotemporal Bluetooth data

B Levy, J Haddad, S Dalyot - LBS 2019; Adjunct Proceedings of the …, 2019 - zora.uzh.ch
Magnetic induction loop detector technology is considered as the traditional and reliable
sensors for monitoring the traffic flow at freeways. These detectors are used to monitor traffic …

Transport-domain applications of widely used data sources in the smart transportation: A survey

S Dabiri, K Heaslip - arXiv preprint arXiv:1803.10902, 2018 - arxiv.org
The rapid growth of population and the permanent increase in the number of vehicles
engender several issues in transportation systems, which in turn call for an intelligent and …

Prior knowledge input to improve lstm auto-encoder-based characterization of vehicular sensing data

N Taherifard, M Simsek, C Lascelles… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
Precision in event characterization in connected vehicles has become increasingly
important with the responsive connectivity that is available to modern vehicles. Event …

Towards Efficient Traffic Incident Detection via Explicit Edge-Level Incident Modeling

C Liu, J Chen, H Liu, S Li, S He - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Traffic incident detection is a critical task within traffic monitoring systems, enabling on-the-fly
alerts for emergency actions. Numerous efforts have been made to detect and localize traffic …

AI-Safe Transportation: Real-Time Incident Detection and Alerting System in Smart Cities

Z Al-Agroudy, A Mohamed, Z Ashraf… - 2023 Eleventh …, 2023 - ieeexplore.ieee.org
Recently, with the increasing complexity of urban environments, the need for advanced
technologies to ensure safe transportation in smart cities has become paramount. It has …

Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity

R Shafique, F Rustam, S Murtala, AD Jurcut… - IEEE …, 2024 - ieeexplore.ieee.org
Autonomous vehicles (AVs) represent an exciting frontier in transportation, promising
increased safety and efficiency on the roads. However, like any technological advancement …

Driver state and behavior detection through smart wearables

A Tavakoli, S Kumar, M Boukhechba… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Integrating driver, in-cabin, and outside environ-ment's contextual cues into the vehicle's
decision making is the centerpiece of semi-automated vehicle safety. Multiple systems have …

Characterizing road conditions via smart mobile crowd sourcing

D Shorter, S Alshammari, S Song - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Bad road conditions can cause vehicle damage and create hazardous driving conditions.
Current reporting methods for bad road conditions is a burden for the reporter, so much so …

Smartphone-based risky traffic situation detection and classification

R Akikawa, A Uchiyama, A Hiromori… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Although the number of traffic accidents occurring in Japan is decreasing, there still happen
approximately 400,000 traffic accidents annually. Behind such accidents, there are frequent …