Context-aware path ranking in road networks

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August undefined, 2024

WebContext-Aware Path Ranking in Road Networks. TKDE (2024). Google Scholar; Bing Yu, Haoteng Yin, and Zhanxing Zhu. 2024. Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting. In IJCAI. 3634--3640. Google Scholar; Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, and Jianzhong Qi. 2024. Gman: A graph … WebJul 5, 2024 · Path Ranking Model for Entity Prediction pp. 1-6. ... Multimodal-Semantic Context-Aware Graph Neural Network for Group Activity Recognition pp. 1-6. Machine Learning-Based Rate Distortion Modeling for VVC/H.266 Intra-Frame pp. 1-6. Short Video Streaming With Data Wastage Awareness pp. 1-6.

Context-aware Path Ranking for Knowledge Base Completion

WebContext-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. 34 (7): 3153-3168 (2024) [c60] view. electronic edition @ aaai.org; no references & citations available . ... Estimating travel speed distributions of paths in road networks using dual-input LSTMs. IWCTS@SIGSPATIAL 2024: 9:1-9:4 [c45] view. electronic edition via DOI; WebContext-Aware Path Ranking in Road Networks @article{Yang2024ContextAwarePR, title={Context-Aware Path Ranking in Road Networks}, author={Sean Bin Yang and Chenjuan Guo and Bin Yang}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2024}, volume={34}, pages={3153-3168} } Sean Bin Yang sum the time in excel

Context-Aware Path Ranking in Road Networks - Semantic …

WebMar 11, 2024 · The increasing availability of vehicle trajectory data yields an increasingly rich data foundation for context-aware, preference-based vehicle routing. ... Yang, S.B., … WebNov 15, 2024 · Base on elaborate context data, several context-aware path finding algorithms have been proposed to obtain personalized optimal routes (Mocholi et al., 2012, Mors et al., 2007, Wang et al., 2011). Considering the spatio-temporal correlation of traffic states, traffic jams on one link are likely to lead to congestion in upstream links. WebDec 20, 2024 · This paper proposes a Context-aware Path Ranking (C-PR) algorithm to solve these problems by introducing a selective path exploration strategy. C-PR learns … palliativdienst herford

ADVANCE - A Data-Intensive Paradigm for Dynamic, Uncertain Networks

Aalborg Universitets forskningsportal

WebJan 1, 2016 · DOI: 10.1007/s11390-016-1619-5 Corpus ID: 255162039; Context-Based Moving Object Trajectory Uncertainty Reduction and Ranking in Road Network @article{Dai2016ContextBasedMO, title={Context-Based Moving Object Trajectory Uncertainty Reduction and Ranking in Road Network}, author={Jian Dai and Zhi-ming … WebCiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Context information available in wearable devices is believed to be useful in many ways. It allows … palliativdienst hildesheimWebRanking paths becomes an increasingly important functionality in many transportation services, where multiple paths connecting a source-destination pair are offered to drivers. We study ranking such paths under specific contexts, e.g., at a departure time and for a specific driver. More specifically, we model ranking as a regression problem where we … sum the youtuber

"WebAug 31, 2024 · 31 Aug 2024 - Vol. 29, Iss: 5, pp 1149-1170. TL;DR: This work provides means of learning contexts and their preferences, and applies these to enhance routing … " - Context-aware path ranking in road networks

Context-aware path ranking in road networks

Context-aware, preference-based vehicle routing

WebJan 8, 2016 · Since some context-aware information can be used to reduce the uncertainty while some context-aware information can be used to rank the uncertainty, to leverage them accordingly, CURR naturally consists of two stages: reduction stage and ranking stage which complement each other. ... Zhu A D, Zhou S. Shortest path and distance … WebContext-aware path ranking in road networks. SB Yang, C Guo, B Yang. IEEE Transactions on Knowledge and Data Engineering 34 (7), 3153-3168, 2024. 21: ... PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks. SB Yang, B Yang. arXiv preprint arXiv:1907.04028, 2024. 1: 2024: The system can't perform the …

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WebRanking paths becomes an increasingly important functionality in many transportation services, where multiple paths connecting a source-destination pair are offered to … WebContext-aware Path Ranking for Knowledge Base Completion Sahisnu Mazumder, Bing Liu Department of Computer Science, University of Illinois at Chicago, USA ... Markov …

WebContext-Aware Path Ranking in Road Networks Sean Bin Yang, Chenjuan Guo , and Bin Yang Abstract—Ranking paths becomes an increasingly important functionality in many … WebContext-Aware Path Ranking in Road Networks. Sean Bin Yang, Chenjuan Guo, Bin Yang. Department of Computer Science; The Technical Faculty of IT and Design; AI for …

WebContext-aware Path Ranking for Knowledge Base Completion Sahisnu Mazumder, Bing Liu Department of Computer Science, University of Illinois at Chicago, USA ... Markov logic networks[Jianget al., 2012] and tensor/matrix factorization[Nickelet al., 2015] methods. This paper fo-cuses on path ranking (PR). In PR-based methods, KB is en- WebOct 1, 1998 · Context-Aware Path Ranking in Road Networks. IEEE Transactions on Knowledge and Data Engineering. Data-Driven Stochastic Optimization for Transportation Road Network Design Under Uncertainty. A chance constrained programming approach for HazMat capacitated vehicle routing problem in Type-2 fuzzy environment.

WebSep 22, 2024 · Context-Aware Path Ranking in Road Networks. Sean Bin Yang, Chenjuan Guo, Bin Yang. Published 22 September 2024. Computer Science. IEEE …

WebSep 22, 2024 · Context-Aware Path Ranking in Road Networks. Sean Bin Yang, Chenjuan Guo, Bin Yang. Published 22 September 2024. Computer Science. IEEE Transactions on Knowledge and Data Engineering. Ranking paths becomes an increasingly important functionality in many transportation services, where multiple paths connecting … sum the values of a listWebContext-Aware Path Ranking in Road Networks. Sean Bin Yang, Chenjuan Guo, Bin Yang. Department of Computer Science; The Technical Faculty of IT and Design; AI for the People; Daisy - Center for Data-intensive Systems; … sum the values in excelWebroad_network_200703_128.pkl is the node embedding of the road network. ... {TKDE, author = {Sean Bin Yang and Chenjuan Guo and Bin Yang}, title = {Context-Aware Path Ranking in Road Networks}, booktitle = {IEEE Transactions on Knowledge and Data Engineering}, year = {2024}, } About. No description, website, or topics provided. ... palliativdienst iserlohn sum the values in a list pythonWebMore specifically, we focus on the following specific works. (1) Context-aware path ranking in road networks. (2) Unsupervised path representation learning. (3) Weakly-supervised contrastive curriculum path representation learning. (3) Lightweight and scalable path representation learning. First, we study the path ranking framework PathRank. palliativdienst landshutWebA road network, where nodes represent road junctions and edges represent roads, is an example of such dynamic, uncertain networks. The travel times of roads are dynamic due to varying traffic volumes and are also uncertain due to diverse driving behaviors and various events such as accidents and concerts. ... Context-Aware Path Ranking in Road ... palliativdienst recklinghausenWebMar 5, 2024 · In 2024, Li et al. [76] formulated a novel technique by integrating the IEEE 802.21 over MIH and SDN in order to have a seamless link establishment and to have a proper path network path configuration during the VHO. Moreover, in VHO, the selection of network was based on two stages namely, pre-filtering and handover network selection. palliativdienst hattingen