Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation research part C: emerging …, 2018 - Elsevier
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …
被引用次数：456 相关文章

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation Research Part C: Emerging …, 2018 - trid.trb.org
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous global …

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation research part C: emerging …, 2018 - safetylit.org
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …

[引用][C] Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation Research Part C: Emerging …, 2018 - cir.nii.ac.jp
Inferring transportation modes from GPS trajectories using a convolutional neural network |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ …

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - arXiv preprint arXiv:1804.02386, 2018 - arxiv.org
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - 2018 - worldtransitresearch.info
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation research part C: emerging …, 2018 - safetylit.org
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …