A review of machine learning and IoT in smart transportation
With the rise of the Internet of Things (IoT), applications have become smarter and
connected devices give rise to their exploitation in all aspects of a modern city. As the …
connected devices give rise to their exploitation in all aspects of a modern city. As the …
Road traffic forecasting: Recent advances and new challenges
Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …
has been a subject of active research within the engineering community for more than 40 …
Deep learning methods in transportation domain: a review
Recent years have seen a significant amount of transportation data collected from multiple
sources including road sensors, probe, GPS, CCTV and incident reports. Similar to many …
sources including road sensors, probe, GPS, CCTV and incident reports. Similar to many …
Big data processing and analysis in internet of vehicles: architecture, taxonomy, and open research challenges
The extensive progression in the Internet of Vehicles (IoV) and the exponential upsurge in
data consumption reflect the importance of big data in IoV. In general, big data has gained a …
data consumption reflect the importance of big data in IoV. In general, big data has gained a …
Short-term speed predictions exploiting big data on large urban road networks
Big data from floating cars supply a frequent, ubiquitous sampling of traffic conditions on the
road network and provide great opportunities for enhanced short-term traffic predictions …
road network and provide great opportunities for enhanced short-term traffic predictions …
Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction
Y Peng, W Xiang - Physica A: Statistical Mechanics and its Applications, 2020 - Elsevier
Accurate traffic volume prediction can help traffic managers to control traffic well, and can
also provide convenient travel routes for passengers. In order to better describe the non …
also provide convenient travel routes for passengers. In order to better describe the non …
Optimization of real-time traffic network assignment based on IoT data using DBN and clustering model in smart city
With the rapid development of the information age, smart city has gradually become the
mainstream of urban construction. Dynamic transportation assignment has attracted more …
mainstream of urban construction. Dynamic transportation assignment has attracted more …
Data-driven short-term forecasting for urban road network traffic based on data processing and LSTM-RNN
W Xiangxue, X Lunhui, C Kaixun - Arabian Journal for Science and …, 2019 - Springer
A short-term traffic flow prediction framework is proposed for urban road networks based on
data-driven methods that mainly include two modules. The first module contains a set of …
data-driven methods that mainly include two modules. The first module contains a set of …
Shaping future low-carbon energy and transportation systems: Digital technologies and applications
Digitalization and decarbonization are projected to be two major trends in the coming
decades. As the already widespread process of digitalization continues to progress …
decades. As the already widespread process of digitalization continues to progress …
A double auction mechanism for resource allocation in coded vehicular edge computing
The development of smart vehicles and rich cloud services have led to the emergence of
vehicular edge computing. To perform the distributed computation tasks efficiently, Coded …
vehicular edge computing. To perform the distributed computation tasks efficiently, Coded …