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Erik Jenelius
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2020 – today
- 2024
- [j8]Matej Cebecauer
, Erik Jenelius
Revealing representative day-types in transport networks using traffic data clustering. J. Intell. Transp. Syst. 28(5): 695-718 (2024) - 2023
- [j7]Qi Zhang
User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model. Appl. Intell. 53(19): 21944-21960 (2023) - [c15]Ha-Nhi Ngo, Elsy Kaddoum, Matej Cebecauer, Erik Jenelius, Anaïs Goursolle:
Considering Multi-Scale Data for Continuous Traffic Prediction Using Adaptive Multi-Agent System. ITSC 2023: 1835-1842 - [c14]Matej Cebecauer, David Gundlegård, Erik Jenelius, Wilco Burghout:
Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data. ITSC 2023: 2543-2548 - [c13]Anastasios Skoufas, Matej Cebecauer, Wilco Burghout, Erik Jenelius:
Generating and Evaluating Route Choice Sets for Large Multimodal Public Transport Networks: A Case Study for Stockholm Region. ITSC 2023: 2926-2931 - 2022
- [i1]David Leffler
An adaptive route choice model for integrated fixed and flexible transit systems. CoRR abs/2211.10802 (2022) - 2020
- [j6]Erik Jenelius
Data-Driven Metro Train Crowding Prediction Based on Real-Time Load Data. IEEE Trans. Intell. Transp. Syst. 21(6): 2254-2265 (2020) - [j5]Amal Saadallah
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. IEEE Trans. Knowl. Data Eng. 32(2): 234-245 (2020)
2010 – 2019
- 2019
- [c12]Amal Saadallah, Luís Moreira-Matias, Ricardo Teixeira Sousa
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). ICDE 2019: 2145-2146 - 2018
- [j4]Erik Jenelius
Urban Network Travel Time Prediction Based on a Probabilistic Principal Component Analysis Model of Probe Data. IEEE Trans. Intell. Transp. Syst. 19(2): 436-445 (2018) - [c11]Athina Tympakianaki, Haris N. Koutsopoulos, Erik Jenelius
Robust SPSA algorithms for dynamic OD matrix estimation. ANT/SEIT 2018: 57-64 - [c10]Erik Jenelius
Car-Specific Metro Train Crowding Prediction Based on Real-Time Load Data. ITSC 2018: 78-83 - [c9]Matej Cebecauer, Erik Jenelius
Spatio-Temporal Partitioning of Large Urban Networks for Travel Time Prediction. ITSC 2018: 1390-1395 - [c8]Wei Zhang, Erik Jenelius, Hugo Badia:
Efficiency of Semi-autonomous Platooning Vehicles in High-Capacity Bus Services. OR 2018: 579-585 - 2017
- [j3]Yizhou Zhang, Erik Jenelius
Impact of real-time crowding information: a Stockholm metro pilot study. Public Transp. 9(3): 483-499 (2017) - [c7]Héctor Rodriguez Déniz
Urban network travel time prediction via online multi-output Gaussian process regression. ITSC 2017: 1-6 - [c6]David Leffler
Real-time short-turning in high frequency bus services based on passenger cost. MT-ITS 2017: 861-866 - 2016
- [c5]Jiali Fu, Erik Jenelius
Driving time and path generation for heavy construction sites from GPS traces. ITSC 2016: 1141-1146 - [c4]Georgios Laskaris
A real-time holding decision rule accounting for passenger travel cost. ITSC 2016: 2410-2415 - 2015
- [j2]Erik Jenelius
Road network vulnerability analysis: Conceptualization, implementation and application. Comput. Environ. Urban Syst. 49: 136-147 (2015) - 2014
- [c3]Mahmood Rahmani, Erik Jenelius
Floating Car and Camera Data Fusion for Non-parametric Route Travel Time Estimation. EUSPN/ICTH 2014: 390-395 - [c2]Mahmood Rahmani, Erik Jenelius
Floating car and camera data fusion for non-parametric route travel time estimation. ITSC 2014: 1286-1291 - 2013
- [c1]Mahmood Rahmani, Erik Jenelius
Route travel time estimation using low-frequency floating car data. ITSC 2013: 2292-2297 - 2010
- [j1]Erik Jenelius
Critical infrastructure protection under imperfect attacker perception. Int. J. Crit. Infrastructure Prot. 3(1): 16-26 (2010)
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