Intelligent route planning on large road networks with efficiency and privacy
Abstract When using Location-Based Services (LBS), intelligent route planning becomes
crucial to improve service quality and user experience. The state-of-the-art G-tree structure …
crucial to improve service quality and user experience. The state-of-the-art G-tree structure …
A time impulse neural network framework for solving the minimum path pair problems of the time-varying network
W Huang, Y Wang, L Zhu - IEEE transactions on knowledge …, 2022 - ieeexplore.ieee.org
The minimum path pair (MPP) query problem is to find the optimal meeting point of two
minimum paths for two users in a network, where each user's minimum path has its own …
minimum paths for two users in a network, where each user's minimum path has its own …
Recommendation for ridesharing groups through destination prediction on trajectory data
L Tang, Z Duan, Y Zhu, J Ma… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we aim to provide an optimal passenger matching solution by recommending
ridesharing groups of passengers from GPS trajectories. Existing algorithms for rider …
ridesharing groups of passengers from GPS trajectories. Existing algorithms for rider …
Real-time urban regional route planning model for connected vehicles based on V2X communication
P Wang, J Zhang, H Deng, M Zhang - Journal of Transport and Land Use, 2020 - JSTOR
Advancement in the novel technology of connected vehicles has presented opportunities
and challenges for smart urban transport and land use. To improve the capacity of urban …
and challenges for smart urban transport and land use. To improve the capacity of urban …
Multi-Source Shortest Path Query With Assembly Points on Large Graphs
Computing Multi-source Shortest Path query with Assembly points () is a fundamental graph
problem. The problem locates a set of assembly points to minimize the overall distance for …
problem. The problem locates a set of assembly points to minimize the overall distance for …
Efficient ridesharing framework for ride-matching via heterogeneous network embedding
L Tang, Z Liu, Y Zhao, Z Duan, J Jia - ACM Transactions on Knowledge …, 2020 - dl.acm.org
Ridesharing has attracted increasing attention in recent years, and combines the flexibility
and speed of private cars with the reduced cost of fixed-line systems to benefit alleviating …
and speed of private cars with the reduced cost of fixed-line systems to benefit alleviating …
An Improved Discrete Jaya Algorithm for Shortest Path Problems in Transportation-Related Processes
Shortest path problems are encountered in many engineering applications, eg, intelligent
transportation, robot path planning, and smart logistics. The environmental changes as …
transportation, robot path planning, and smart logistics. The environmental changes as …
Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City
Introducing meeting points to ride-pooling (RP) services has been shown to increase the
satisfaction level of both riders and service providers. Passengers may choose to walk to a …
satisfaction level of both riders and service providers. Passengers may choose to walk to a …
GE-DDRL: Graph Embedding and Deep Distributional Reinforcement Learning for Reliable Shortest Path: A Universal and Scale Free Solution
This paper studies the reliable shortest path (RSP) problem in stochastic transportation
networks. State-of-the-art RSP solutions usually target one specific RSP problem; moreover …
networks. State-of-the-art RSP solutions usually target one specific RSP problem; moreover …
[PDF][PDF] Heuristic Optimal Meeting Point Algorithm for Car-Sharing in Large Multimodal Road Networks.
J Baudru, H Bersini - VEHITS, 2024 - researchgate.net
This article introduces a new version of the car-pooling problem (CPP). This involves
defining rendezvous or meeting point in such a way that the travel times of the users are fair …
defining rendezvous or meeting point in such a way that the travel times of the users are fair …