Joint charging and relocation recommendation for e-taxi drivers via multi-agent mean field hierarchical reinforcement learning
Nowadays, most of the taxi drivers have become users of the relocation recommendation
service offered by online ride-hailing platforms (eg, Uber and Didi Chuxing), which could …
service offered by online ride-hailing platforms (eg, Uber and Didi Chuxing), which could …
Prediction of taxi destinations using a novel data embedding method and ensemble learning
The accurate and timely destination prediction of taxis is of great importance for location-
based service applications. Over the last few decades, the popularization of vehicle …
based service applications. Over the last few decades, the popularization of vehicle …
MORP: Data-driven multi-objective route planning and optimization for electric vehicles
The Wireless Power Transfer (WPT) system that enables in-motion charging (or wireless
charging) for Electric Vehicles (EVs) has been introduced to resolve battery-related issues …
charging) for Electric Vehicles (EVs) has been introduced to resolve battery-related issues …
CrowdTracker: Optimized urban moving object tracking using mobile crowd sensing
This paper proposes CrowdTracker, a novel object tracking system based on mobile crowd
sensing (MCS). Different from traditional video-based object tracking approaches …
sensing (MCS). Different from traditional video-based object tracking approaches …
Destination prediction using deep echo state network
Z Song, K Wu, J Shao - Neurocomputing, 2020 - Elsevier
Final destination prediction based on initial partial trajectories plays an important role in
location-based services (LBSs) and urban computing. Several studies on destination …
location-based services (LBSs) and urban computing. Several studies on destination …
Employing opportunistic charging for electric taxicabs to reduce idle time
For electric taxicabs, the idle time spent on cruising for passengers, seeking chargers, and
charging is wasteful. Previous works can only save cruising time through better routing, or …
charging is wasteful. Previous works can only save cruising time through better routing, or …
Vemo: Enabling transparent vehicular mobility modeling at individual levels with full penetration
Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …
to address traffic congestion and respond to the emergency. However, almost all existing …
Taxi-Passenger's destination prediction via GPS embedding and attention-based BiLSTM model
The prediction of taxi-passenger's destination with the partial GPS trajectory left by moving
taxis is an important yet challenging research issue. The high uncertainty of human mobility …
taxis is an important yet challenging research issue. The high uncertainty of human mobility …
An efficient destination prediction approach based on future trajectory prediction and transition matrix optimization
Destination prediction is an essential task in various mobile applications and up to now
many methods have been proposed. However, existing methods usually suffer from the …
many methods have been proposed. However, existing methods usually suffer from the …
Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities
One of the biggest challenges in a Smart City is how to describe and dispose of the
enormous and multiple sources of information, and how to share and merge it into a single …
enormous and multiple sources of information, and how to share and merge it into a single …