Person
Jingmin Chen
This person is no longer with EPFL
Related publications (15)
Probabilistic multimodal map-matching with rich smartphone data
Michel Bierlaire, Jingmin Chen
This article proposes a probabilistic method that infers the transport modes and the physical paths of trips from smartphone data that were recorded during travels. This method synthesizes multiple kinds of data from smartphone sensors, which provide relev ...
Taylor & Francis Inc2015Passenger Centric Train Timetabling Problem
Michel Bierlaire, Shadi Sharif Azadeh, Mohammad Yousef Maknoon, Tomas Robenek, Jingmin Chen
The aim of this paper is to analyze and to improve the current planning process of the passenger railway service in light of the recent railway market changes. In order to do so, we introduce the Passenger Centric Train Timetabling Problem. The originality ...
2015An effective mathematical formulation for the unidirectional cluster-based quay crane scheduling problem
The quay crane scheduling problem plays an important role in the paradigm of port container terminal management, due to the fact that it closely relates to vessel berthing time. In this paper, we focus on the study of a special strategy for the cluster-bas ...
Elsevier Science Bv2014Modeling Route Choice Behavior Using Smartphone Data
In this thesis, we develop methods for modeling route choice behavior using smartphone data. The developing global positioning system (GPS) technology and the popularity of smartphones have revolutionized the revealed preference route choice data collectio ...
EPFL2013A Probabilistic Map Matching Method for Smartphone GPS data
Michel Bierlaire, Jingmin Chen, Jeffrey Newman
Smartphones have the capability of recording various kinds of data from built-in sensors such as GPS in a non-intrusive, systematic way. In transportation studies, such as route choice modeling, the discrete sequences of GPS data need to be associated with ...
Pergamon-Elsevier Science Ltd2013Planning of feeding station installment for electric urban public mass-transportation system
Michel Bierlaire, Michaël Clément Louis Ghislain Thémans, Bilge Atasoy, Tomas Robenek, Jingmin Chen
During the last few decades, environmental impact of the fossil fuel-based transportation infrastructure has led to renewed interest in electric transportation infrastructure, especially in urban public mass-transportation sector. Generally, electric buses ...
2013Probabilistic multimodal map-matching with rich smartphone data
Michel Bierlaire, Jingmin Chen
This paper proposes a probabilistic method that infers the transport modes and the physical path of trips from smartphone data that were recorded during travels. This method synthesizes multiple kinds of data from smartphone sensors which provide relevant ...
2012Modeling Route Choice Behavior From Smartphone GPS data
Michel Bierlaire, Jingmin Chen, Jeffrey Newman
Smartphones have the capability of recording various kinds of data from built-in sensors such as GPS in a non-intrusive, systematic way. In order to be used as observations for route choice models, the discrete sequences of GPS data need to be associated w ...
2010Using location observations to observe routing for choice models
Michel Bierlaire, Jingmin Chen, Jeffrey Newman
Map matching algorithms try to map a series of location observations to an underlying network, to generate a single hypothesized true location or route. For some applications, including route choice modeling, such map matching is not required, and may intr ...
2010Modeling Route Choice Behavior From Smart-phone GPS data
Michel Bierlaire, Jingmin Chen, Jeffrey Newman
Abstract GPS capable smart phones are emerging survey tools in transportation research field, especially in modeling individuals' mobility patterns. In route choice modeling, path observations need to be generated explicitly for the estimation. It is a cha ...
2009