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Publication search results
found 76 matches
- 2023
- Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks 168: 539-548 (2023) - Ren-Yong Guo, Hai Yang, Hai-Jun Huang:
The Day-to-Day Departure Time Choice of Heterogeneous Commuters Under an Anonymous Toll Charge for System Optimum. Transp. Sci. 57(3): 661-684 (2023) - Yu-Chi Chung, I-Fang Su:
Recommending Fastest Path to Commuters by Using Shared Vehicles and Public Transportation Systems under Time-Dependent Road Networks. ICKII 2023: 541-546 - 2022
- Luca Vismara, Vee-Liem Saw, Lock Yue Chew:
Synchronising Bus Bunching to the Spikes in Service Demand Reduces Commuters' Waiting Time. Complex. 2022: 8996439:1-8996439:15 (2022) - Christos Gogos, Angelos Dimitsas, Christos Valouxis, Panayiotis Alefragis:
Modeling a balanced commute educational timetabling problem in the context of teaching Integer Programming. SEEDA-CECNSM 2022: 1-5 - 2021
- Sara Ghazanfari, Daphne van Leeuwen, Liron Ravner, Rudesindo Núñez-Queija:
Commuter behavior under travel time uncertainty. Perform. Evaluation 148: 102200 (2021) - Susanne Grüner, Mark Vollrath:
Reaching Your Destination on Time - Route Choice Decisions of Different Commuter Cyclist Types. AHFE (12) 2021: 162-169 - 2020
- Xiao Guo, Aomuhan Zhang, Lu Tian, Tongfei Li:
Modeling the Morning Commute Problem With Stochastic Travel Time in a Bottleneck Model. IEEE Access 8: 149468-149475 (2020) - Wei Liu, Tao Wenxuan, Ziming Zhong, Jianqin Yin:
Individual Commute Time Recognition Based on the Hierarchical Semantic Model. IEEE Access 8: 157037-157049 (2020) - Yun Yu, Xiao Han, Rui Jiang, Justin Darr, Bin Jia:
Departure Time and Route Choices With Accurate Information Under Binary Stochastic Bottleneck Capacity in the Morning Commute. IEEE Access 8: 225551-225565 (2020) - Mohd. Hafiz Hasan, Pascal Van Hentenryck:
The flexible and real-time commute trip sharing problems. Constraints An Int. J. 25(3-4): 160-179 (2020) - Carl-William Palmqvist, Norio Tomii, Yasufumi Ochiai:
Explaining dwell time delays with passenger counts for some commuter trains in Stockholm and Tokyo. J. Rail Transp. Plan. Manag. 14: 100189 (2020) - Tharindu R. Bandaragoda, Achini Adikari, Rashmika Nawaratne, Dinithi Nallaperuma, Ashish Kumar Luhach, Thimal Kempitiya, Su Nguyen, Damminda Alahakoon, Daswin De Silva, Naveen K. Chilamkurti:
Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making. Neural Comput. Appl. 32(20): 16057-16071 (2020) - 2019
- João Ricardo Sato, Cristiane M. Sato, Marcel Kenji de Carli Silva, Claudinei Eduardo Biazoli Jr.:
Commute Time as a Method to Explore Brain Functional Connectomes. Brain Connect. 9(2): 155-161 (2019) - Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91: 56-68 (2019) - Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla:
Incremental commute time and its online applications. Pattern Recognit. 88: 101-112 (2019) - Chansung Kim, Young-Goun Jin, Jiyoung Park, Dongwoon Kang:
The influence of an autonomous driving car operation on commuters' departure times. ANT/EDI40 2019: 85-91 - Mihira Wanninayake, Richard O. Sinnott:
An Exploration of Commuter Travel Time Through Social Media Analytics on the Cloud. BDCAT 2019: 43-51 - Tommy Cao, Derek Roy, Tereza Nedelescu:
Optimizing commute time with IBM Watson studio. CASCON 2019: 388-390 - 2018
- Hela Haj Mohamed, Samir Belaid, Wady Naanaa, Lotfi Ben Romdhane:
Local commute-time guided MDS for 3D non-rigid object retrieval. Appl. Intell. 48(9): 2873-2883 (2018) - Guang Yang, Xinwang Liu:
A commuter departure-time model based on cumulative prospect theory. Math. Methods Oper. Res. 87(2): 285-307 (2018) - 2016
- Olivier Cros:
Mixed criticality management into real-time and embedded network architectures : application to switched ethernet networks. (Gestion de la criticité mixte dans les réseaux temps-réel embarqués et application à ethernet commuté). University of Paris-Est, France, 2016 - Youngjung Kim, Changjae Oh, Kwanghoon Sohn:
Edge-aware image smoothing using commute time distances. ICIP 2016: 3304-3308 - Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock:
An edge-based matching kernel on commute-time spanning trees. ICPR 2016: 2103-2108 - Rohit Verma, Aviral Shrivastava, Sandip Chakraborty, Bivas Mitra:
Margdarshak: A Mobile Data Analytics based Commute Time Estimator cum Route Recommender. WPA@MobiSys 2016: 31-36 - Nguyen Lu Dang Khoa, Sanjay Chawla:
Incremental Commute Time Using Random Walks and Online Anomaly Detection. ECML/PKDD (1) 2016: 49-64 - Francisco Escolano, Manuel Curado, Edwin R. Hancock:
Commute Times in Dense Graphs. S+SSPR 2016: 241-251 - 2015
- Wenlong Yu, Hiroyuki Ebara, Raito Matsuzaki, Daisuke Yoshida, Venkatesh Raghavan:
Near Real-time Mapping Using Shared GPS Data from Stranded Commuters. Rev. Socionetwork Strateg. 9(2): 41-57 (2015) - Xuewei Qi, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth:
A Novel Blended Real-Time Energy Management Strategy for Plug-in Hybrid Electric Vehicle Commute Trips. ITSC 2015: 1002-1007 - Hongyan Cui, Yuxiao Wu, Stanislav Sobolevsky, Shuai Xu, Carlo Ratti:
Exploring Invariants & Patterns in Human Commute time. CoRR abs/1510.03952 (2015)
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