Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles

Y Lian, G Zhang, J Lee, H Huang - Accident analysis & Prevention, 2020 - Elsevier
Abstract The era of Big Data has arrived. Recently, under the environment of intelligent
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …

Big data analytics in intelligent transportation systems: A survey

L Zhu, FR Yu, Y Wang, B Ning… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Big data is becoming a research focus in intelligent transportation systems (ITS), which can
be seen in many projects around the world. Intelligent transportation systems will produce a …

Fog based intelligent transportation big data analytics in the internet of vehicles environment: motivations, architecture, challenges, and critical issues

TSJ Darwish, KA Bakar - IEEE Access, 2018 - ieeexplore.ieee.org
The intelligent transportation system (ITS) concept was introduced to increase road safety,
manage traffic efficiently, and preserve our green environment. Nowadays, ITS applications …

Toward secure data sharing for the IoV: A quality-driven incentive mechanism with on-chain and off-chain guarantees

W Chen, Y Chen, X Chen… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Currently, data sharing for the Internet of Vehicles (IoV) applications has drawn much
attention in the framework of developing smart cities and smart transportation. A critical …

Computing paradigms in emerging vehicular environments: A review

L Silva, N Magaia, B Sousa… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Determining how to structure vehicular network environments can be done in various ways.
Here, we highlight vehicle networks' evolution from vehicular ad-hoc networks (VANET) to …

Smart mobility with Big Data: approaches, applications, and challenges

D Lee, D Camacho, JJ Jung - Applied Sciences, 2023 - mdpi.com
Many vehicles are connected to the Internet, and big data are continually created. Various
studies have been conducted involving the development of artificial intelligence, machine …

Road accidents detection, data collection and data analysis using V2X communication and edge/cloud computing

KA Khaliq, O Chughtai, A Shahwani, A Qayyum… - Electronics, 2019 - mdpi.com
With the improvement in transportation infrastructure and in-vehicle technology in addition to
a meteoric increase in the total number of commercial and non-commercial vehicles on the …

Factors affecting traffic risks on bridge sections of freeways based on partial dependence plots

X Zhao, H Yang, Y Yao, H Qi, M Guo, Y Su - Physica A: Statistical …, 2022 - Elsevier
Most of the safety studies mainly takes the probability of crashes or relevant records as the
main indicators. Accident-based safety analysis may lead to overestimation or …

Vehicle accident risk prediction based on AdaBoost-SO in VANETs

H Zhao, H Yu, D Li, T Mao, H Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid expansion of road traffic and vehicle scale, citizens have to face the serious
life safety risks caused by vehicle accidents while enjoying an increasingly convenient life …