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3ipt_schedule [2018/04/07 10:08]
lmatias created
3ipt_schedule [2018/04/07 10:19] (current)
lmatias
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 ====== 3rd International Workshop on Intelligent Public Transport at IEEE ITSC 2017 ====== ====== 3rd International Workshop on Intelligent Public Transport at IEEE ITSC 2017 ======
  
-  ​* Keynote: Jan-Dirk Schmöcker – "​Future Public Transport Fare Structures: Behavioural and Social Impacts of IST +{{ ::​ipt_workshop_2017.pdf |Opening Session}} 
-  * Daily Metro Origin-Destination Pattern Recognition Using Dimensionality Reduction and Clustering Methods (Chao Yang, Fenfan Yan, Xiandong Xu) + 
-  * Predicting the Next Trip of Individual Public Transportation Passengers (Zhan Zhao, Haris N. Koutsopoulos and Jinhua Zhao) +  ​* Keynote: Jan-Dirk Schmöcker – "​Future Public Transport Fare Structures: Behavioural and Social Impacts of IST
-  * Short & Long Term Forecasting of Multimodal Transport Passenger Flows with Machine Learning Methods (Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier and Latifa Oukhellou) + 
-  * Novel C-ITS Support for Electric Buses with Opportunity Charging (Marcin Seredynski and Francesco Viti) +Abstract 
-  * Adjusting Bus Timetables Considering Observed Delays and Passenger Numbers (Toshiyuki Nakamura, Jan-Dirk Schmöcker, Nobuhiro Uno, Takenori Iwamoto and Yusuke Watanabe) + 
-  * Fault Diagnosis Method of the On-board Equipment of Train Control System Based on Rough Set Theory (Wei ShangGuan, Junzheng Zhang, Juan Feng and Bai-gen Cai) +Automatic Fare Collection (AFC) systems such as smart cards, or mobile phone based charging are allowing us to collect long-term data records of user behaviour. This information can be used to optimize a transport network including network structure and fares, though understanding and predicting demand elasticities remains a challenging topic. At the same time, new AFC technologies are not only a data source but also allow operators to introduce complex fare structures including spatial, temporal and user group distinguished charging. The talk will discuss some of these trends and possibilities,​ such as changes from flat or zonal to distance-based fares and price capping. Potential impacts for single travelers as well as specific parts of a hypothetical city will be discussed to illustrate that some cities understandably hesitate to use the full potential of now possible charging structures. 
-  * Non-stationary Traffic Flow Prediction Using Deep Learning (Arief Koesdwiady, Safaa Bedawi, Chaojie Ou and Fakhri Karray) + 
-  * Resiliency Assessment of Urban Rail Transit Networks: A Case Study of Shanghai Metro (Ming Li, Hongwei Wang and Huashen Wang) +  * Daily Metro Origin-Destination Pattern Recognition Using Dimensionality Reduction and Clustering Methods (Chao Yang, Fenfan Yan, Xiandong Xu) {{ ::​1_paper.pdf |PDF}} 
-  * Using Mobile Phone Data Analysis for the Estimation of Daily Urban Dynamics (Danya Bachir, Vincent Gauthier, Mounim A El Yacoubi and Ghazaleh Khodabandelou) +  * Predicting the Next Trip of Individual Public Transportation Passengers (Zhan Zhao, Haris N. Koutsopoulos and Jinhua Zhao)  
-  * Simulation of Demand and Supply of Urban Rail in a Multimodal Environment (Kenneth Koh, Carlos Lima Azevedo, Kakali Basak and Moshe Ben-Akiva)+  * Short & Long Term Forecasting of Multimodal Transport Passenger Flows with Machine Learning Methods (Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier and Latifa Oukhellou){{ ::​3_paper.pdf |PDF}} 
 +  * Novel C-ITS Support for Electric Buses with Opportunity Charging (Marcin Seredynski and Francesco Viti) {{ ::​4_paper.pdf |PDF}} 
 +  * Adjusting Bus Timetables Considering Observed Delays and Passenger Numbers (Toshiyuki Nakamura, Jan-Dirk Schmöcker, Nobuhiro Uno, Takenori Iwamoto and Yusuke Watanabe) ​{{ ::​5_paper.pdf |PDF}} 
 +  * Fault Diagnosis Method of the On-board Equipment of Train Control System Based on Rough Set Theory (Wei ShangGuan, Junzheng Zhang, Juan Feng and Bai-gen Cai) {{ ::​6_paper.pdf |PDF}} 
 +  * Resiliency Assessment of Urban Rail Transit Networks: A Case Study of Shanghai Metro (Ming Li, Hongwei Wang and Huashen Wang) {{ ::​7_paper.pdf |PDF}} 
 +  * Using Mobile Phone Data Analysis for the Estimation of Daily Urban Dynamics (Danya Bachir, Vincent Gauthier, Mounim A El Yacoubi and Ghazaleh Khodabandelou) ​{{ ::​8_paper.pdf |PDF}} 
 +  * Simulation of Demand and Supply of Urban Rail in a Multimodal Environment (Kenneth Koh, Carlos Lima Azevedo, Kakali Basak and Moshe Ben-Akiva) ​{{ ::​9_paper.pdf |PDF}}
  
3ipt_schedule.txt · Last modified: 2018/04/07 10:19 by lmatias