Big data analytics in supply chain management: A state-of-the-art literature review
The rapidly growing interest from both academics and practitioners in the application of big
data analytics (BDA) in supply chain management (SCM) has urged the need for review of …
data analytics (BDA) in supply chain management (SCM) has urged the need for review of …
Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains
The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not
been explored much in the literature. This study investigates the role of 'Big Data …
been explored much in the literature. This study investigates the role of 'Big Data …
Review of shared online hailing and autonomous taxi services
As the technology of autonomous vehicle develops, online hailing autonomous taxi system
is regarded as one of the most popular public transportation services in the future. Studies …
is regarded as one of the most popular public transportation services in the future. Studies …
Transformer-based map-matching model with limited labeled data using transfer-learning approach
In many spatial trajectory-based applications, it is necessary to map raw trajectory data
points onto road networks in digital maps, which is commonly referred to as a map-matching …
points onto road networks in digital maps, which is commonly referred to as a map-matching …
Optimal evacuation route planning of urban personnel at different risk levels of flood disasters based on the improved 3D Dijkstra's algorithm
Y Zhu, H Li, Z Wang, Q Li, Z Dou, W **e, Z Zhang… - Sustainability, 2022 - mdpi.com
In the event of a flood, the choice of evacuation routes is vital for personnel security. This is
particularly true when road factors play an important role in evacuation time. In this study, the …
particularly true when road factors play an important role in evacuation time. In this study, the …
Dynamic path planning algorithms with load balancing based on data prediction for smart transportation systems
In modern transportation, traffic congestion has become an urgent problem in large and
medium-sized cities. In smart transportation systems, it is an effective solution to design load …
medium-sized cities. In smart transportation systems, it is an effective solution to design load …
An integrated fuzzy C-means method for missing data imputation using taxi GPS data
J Huang, B Mao, Y Bai, T Zhang, C Miao - Sensors, 2020 - mdpi.com
Various traffic-sensing technologies have been employed to facilitate traffic control. Due to
certain factors, eg, malfunctioning devices and artificial mistakes, missing values typically …
certain factors, eg, malfunctioning devices and artificial mistakes, missing values typically …
Optimization model of taxi fleet size based on GPS tracking data
Y Yang, Z Yuan, X Fu, Y Wang, D Sun - Sustainability, 2019 - mdpi.com
A reasonable taxi fleet size has a significant impact on the satisfaction of urban traffic
demand, the alleviation of urban traffic congestion, and the stability of taxi business groups …
demand, the alleviation of urban traffic congestion, and the stability of taxi business groups …
Deep learning enabled vehicle trajectory map‐matching method with advanced spatial–temporal analysis
Z Liu, J Fang, Y Tong, M Xu - IET Intelligent Transport Systems, 2020 - Wiley Online Library
Global positioning system (GPS) trajectory map matching projects GPS coordinates to the
road network. Most existing algorithms focus on the geometric and topological relationships …
road network. Most existing algorithms focus on the geometric and topological relationships …
RNN-based default logic for route planning in urban environments
Urban route planning is important for smart cities and intelligent transportation systems. Most
of the exiting methods of urban route planning are either graph based search algorithms or …
of the exiting methods of urban route planning are either graph based search algorithms or …