[HTML][HTML] How machine learning informs ride-hailing services: A survey
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …
urban transportation system, which not only provide significant ease for residents' travel …
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition
Recent developments in sensing and monitoring techniques have led to the generation of
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach
Ride-hailing platforms generally provide various service options to customers, such as solo
ride services, shared ride services, etc. It is generally expected that demands for different …
ride services, shared ride services, etc. It is generally expected that demands for different …
[HTML][HTML] Choice modelling in the age of machine learning-discussion paper
Since its inception, the choice modelling field has been dominated by theory-driven
modelling approaches. Machine learning offers an alternative data-driven approach for …
modelling approaches. Machine learning offers an alternative data-driven approach for …
A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets
Ride-sourcing services are increasingly popular because of their ability to accommodate on-
demand travel needs. A critical issue faced by ride-sourcing platforms is the supply-demand …
demand travel needs. A critical issue faced by ride-sourcing platforms is the supply-demand …
Competition between the transportation network company and the government with subsidies to public transit riders
The substitution and complement of ride-sourcing services and public transit services greatly
affect the mobility and accessibility of a multi-modal transportation system. Since the …
affect the mobility and accessibility of a multi-modal transportation system. Since the …
Traffic target location estimation based on tensor decomposition in intelligent transportation system
Y Guo, X Wang, X Lan, T Su - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
As the safety problems and economic losses caused by traffic accidents are becoming more
and more serious, intelligent transportation system (ITS) came into being. After the outbreak …
and more serious, intelligent transportation system (ITS) came into being. After the outbreak …
Equilibrium analyses and operational designs of a coupled market with substitutive and complementary ride-sourcing services to public transits
The emerging on-demand ride-sourcing programs provided by transportation network
companies (TNCs) have been reshaping the transportation industry. Research efforts in this …
companies (TNCs) have been reshaping the transportation industry. Research efforts in this …
Designing van-based mobile battery swapping and rebalancing services for dockless ebike-sharing systems based on the dueling double deep Q-network
Ebike-sharing (electric bicycle-sharing) systems are gaining popularity as ebikes provide
riders with transportation convenience when people have limited accessibility to other travel …
riders with transportation convenience when people have limited accessibility to other travel …
Artificial intelligence methodologies for data management
This study analyses the main challenges, trends, technological approaches, and artificial
intelligence methods developed by new researchers and professionals in the field of …
intelligence methods developed by new researchers and professionals in the field of …