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Tidskrifter

Tidskrifter

[1]
B. Djordjevic et al., "An optimisation-based digital twin for automated operation of rail level crossings," Expert systems with applications, vol. 239, 2024.
[2]
Y. Song et al., "A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery," Transportation Research Part C : Emerging Technologies, vol. 158, 2024.
[3]
D. Leffler et al., "An adaptive route choice model for integrated fixed and flexible transit systems," Transportmetrica B : Transport Dynamics, vol. 12, no. 1, 2024.
[4]
C. Sánchez och I. Nordmark, "Knowledge hub : ESEP4Freight's contribution to rail freight information," Global Railway Review, vol. 30, no. 1, s. 38-39, 2024.
[5]
I. Johansson och A. Peterson, "Rail platform allocation for reliable interchanges," Transportation Research Procedia, vol. 78, s. 198-205, 2024.
[6]
Z. Zhang et al., "Improving 3-day deterministic air pollution forecasts using machine learning algorithms," Atmospheric Chemistry And Physics, vol. 24, no. 2, s. 807-851, 2024.
[7]
O. Cats, S. Derrible och J. Chow, "Special issue on "Reliability and resilience of emerging mobility systems", an editorial note," Transportmetrica B : Transport Dynamics, vol. 11, no. 1, s. 1092-1094, 2023.
[9]
L. Wang et al., "Human-centric multimodal deep (HMD) traffic signal control," IET Intelligent Transport Systems, vol. 17, no. 4, s. 744-753, 2023.
[11]
K. Tuncel, H. N. Koutsopoulos och Z. Ma, "An integrated ride-matching and vehicle-rebalancing model for shared mobility on-demand services," Computers & Operations Research, vol. 159, 2023.
[12]
H. Badia och E. Jenelius, "Shared e-scooter micromobility : review of use patterns, perceptions and environmental impacts," Transport reviews, vol. 43, no. 5, s. 811-837, 2023.
[13]
L. Kolkowski et al., "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, vol. 110, 2023.
[14]
M. M. Zefreh et al., "A data-driven decision support tool for public transport service analysis and provision," Transport Policy, vol. 135, s. 82-90, 2023.
[15]
J. Y. Lin et al., "The equity of public transport crowding exposure," Journal of Transport Geography, vol. 110, 2023.
[16]
K. Y. Tiong, Z. Ma och C.-W. Palmqvist, "Analyzing factors contributing to real-time train arrival delays using seemingly unrelated regression models," Transportation Research Part A : Policy and Practice, vol. 174, 2023.
[17]
B. Djordjevic, O. Fröidh och E. Krmac, "Determinants of autonomous train operation adoption in rail freight : knowledge-based assessment with Delphi-ANP approach," Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol. 27, no. 11, s. 7051-7069, 2023.
[18]
J. Hatzenbühler et al., "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A : Policy and Practice, vol. 173, s. 103688-103688, 2023.
[19]
M. Cebecauer et al., "Revealing representative day-types in transport networks using traffic data clustering," Journal of Intelligent Transportation Systems / Taylor & Francis, s. 1-24, 2023.
[21]
B. Liu et al., "Passenger flow anomaly detection in urban rail transit networks with graph convolution network-informer and Gaussian Bayes models," Philosophical Transactions. Series A : Mathematical, physical, and engineering science, vol. 381, no. 2254, 2023.
[22]
Z. Liu et al., "Integrated optimization of timetable, bus formation, and vehicle scheduling in autonomous modular public transport systems," Transportation Research Part C : Emerging Technologies, vol. 155, 2023.
[23]
[24]
T. Liu, H. N. Koutsopoulos och Z. Ma, "Modeling the Duration of the Impact of Unplanned Disruptions on Passenger Trips Using Smartcard Data in Urban Rail Systems," URBAN RAIL TRANSIT, vol. 9, no. 3, s. 266-279, 2023.
[25]
Y. Sun et al., "Evaluation of Motorway Lane Control Strategies for Mixed Flow of Autonomous and Human-Driven Vehicles," Journal of Transportation Engineering, Part A: Systems, vol. 149, no. 11, s. 1-12, 2023.
[26]
S. Peftitsi, E. Jenelius och O. Cats, "Evaluating skip-stop policy in urban rail transit systems based on passenger cost," Journal of Public Transportation, vol. 25, 2023.
[27]
C.-W. Palmqvist, I. Johansson och H. Sipilä, "A method to separate primary and secondary train delays in past and future timetables using macroscopic simulation," Transportation Research Interdisciplinary Perspectives, vol. 17, s. 100747-100747, 2023.
[28]
Q. Zhang et al., "User-station attention inference using smart card data : a knowledge graph assisted matrix decomposition model," Applied intelligence (Boston), vol. 53, no. 19, s. 21944-21960, 2023.
[29]
N. Minbashi et al., "Machine learning-assisted macro simulation for yard arrival prediction," Journal of Rail Transport Planning & Management, vol. 25, 2023.
[30]
K. Y. Tiong, Z. Ma och C.-W. Palmqvist, "A review of data-driven approaches to predict train delays," Transportation Research Part C : Emerging Technologies, vol. 148, s. 104027, 2023.
[31]
C. Zhong et al., "Online prediction of network-level public transport demand based on principle component analysis," Communications in Transportation Research, vol. 3, 2023.
[33]
J. Högdahl och M. Bohlin, "A Combined Simulation-Optimization Approach for Robust Timetabling on Main Railway Lines," Transportation Science, vol. 57, no. 1, s. 52-81, 2023.
[34]
S. Cui et al., "Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers," Transportation Research Part E : Logistics and Transportation Review, vol. 180, 2023.
[35]
P. Zhang, H. N. Koutsopoulos och Z. Ma, "DeepTrip : A Deep Learning Model for the Individual Next Trip Prediction With Arbitrary Prediction Times," IEEE transactions on intelligent transportation systems (Print), vol. 24, no. 6, s. 5842-5855, 2023.
[36]
E. Jansson, N. O.E. Olsson och O. Fröidh, "Challenges of replacing train drivers in driverless and unattended railway mainline systems—A Swedish case study on delay logs descriptions," Transportation Research Interdisciplinary Perspectives, vol. 21, s. 100875-100875, 2023.
[37]
B. Djordjevic et al., "Efficient use of European rail freight corridors: current status and potential enablers," Transportation planning and technology (Print), vol. 47, no. 1, s. 62-88, 2023.
[38]
B. Djordjevic, R. Maitra och B. Ghosh, "Environmental efficiency assessment of Dublin Port using two-stage non-radial DEA model," Maritime Transport Research, vol. 4, s. 100078-100078, 2023.
[39]
B. Berg Wincent, E. Jenelius och W. Burghout, "Access distance to e-scooters : Analysis of app use and trip data in Stockholm," Journal of Cycling and Micromobility Research, s. 100004-100004, 2023.
[40]
X. Chen, Z. Ma och Z. Li, "Unplanned Disruption Analysis in Urban Railway Systems: Evidencefrom Hong Kong," Transportation Research Record, 2022.
[41]
A. Ait Ali, J. Eliasson och J. Warg, "Are commuter train timetables consistent with passengers’ valuations of waiting times and in-vehicle crowding?," Transport Policy, vol. 116, s. 188-198, 2022.
[44]
[45]
Z. Ma och H. N. Koutsopoulos, "Near-on-demand mobility. The benefits of user flexibility for ride-pooling services," Transportation Research Part C : Emerging Technologies, vol. 135, 2022.
[46]
H. Chen, J. Hatzenbühler och E. Jenelius, "Pick-Up and Delivery Problem for Sequentially Consolidated Urban Transportation with Mixed and Multi-Pupropse Vehicle Fleet," Journal of Advanced Transportation, vol. 2022, 2022.
[47]
O. Cats och F. Ferranti, "Unravelling individual mobility temporal patterns using longitudinal smart card data," Research in Transportation Business and Management (RTBM), vol. 43, s. 100816, 2022.
[48]
[49]
[50]
J. Jin et al., "A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework," IEEE transactions on intelligent transportation systems (Print), vol. 23, no. 9, s. 16185-16196, 2022.
Fullständig lista i KTH:s publikationsportal

Tidskrifter (2017-12-31)

[1]
O. Cats och E. Jenelius, "Beyond a complete failure: The impact of partial capacity degradation on public transport network vulnerability," Transportmetrica B : Transport Dynamics, vol. 6, no. 2, s. 77-96, 2018.
[2]
I. Kristoffersson och L. Engelson, "Estimating preferred departure times of road users in a large urban network," Transportation, vol. 45, no. 3, s. 767-787, 2018.
[3]
J. Jin och X. Ma, "A Decentralized Traffic Light Control System Based on Adaptive Learning," IFAC-PapersOnLine, vol. 50, no. 1, s. 5301-5306, 2017.
[4]
J. Jin och X. Ma, "A group-based traffic signal control with adaptive learning ability," Engineering applications of artificial intelligence, vol. 65, s. 282-293, 2017.
[5]
M. Fadaei Oshyani, O. Cats och A. Bhaskar, "A hybrid scheme for real-time prediction of bus trajectories : Hybrid Scheme for Real-Time Prediction," Journal of Advanced Transportation, vol. 50, no. 8, s. 2130-2149, 2017.
[6]
J. Jin, X. Ma och I. Kosonen, "A stochastic optimization framework for road traffic controls based on evolutionary algorithms and traffic simulation," Advances in Engineering Software, vol. 114, s. 348-360, 2017.
[7]
M. Cebecauer och Ľ. Buzna, "A versatile adaptive aggregation framework for spatially large discrete location-allocation problems," Computers & industrial engineering, vol. 111, s. 364-380, 2017.
[8]
P. Suau-Sanchez, A. Voltes-Dorta och H. Rodríguez-Déniz, "An assessment of the potential for self-connectivity at European airports in holiday markets," Tourism Management, vol. 62, s. 54-64, 2017.
[9]
J. Jin, X. Ma och I. Kosonen, "An intelligent control system for traffic lights with simulation-based evaluation," Control Engineering Practice, vol. 58, s. 24-33, 2017.
[11]
G. Mwesige et al., "Effect of passing zone length on operation and safety of two-lane rural highways in Uganda," IATSS RESEARCH, vol. 41, no. 1, s. 38-46, 2017.
[12]
I. Kristoffersson, L. Engelson och M. Börjesson, "Efficiency vs equity : Conflicting objectives of congestion charges," Transport Policy, vol. 60, s. 99-107, 2017.
[14]
Y. O. Susilo och C. Liu, "Examining the relationships between individual's time use and activity participations with their health indicators," European Transport Research Review, vol. 9, no. 2, 2017.
[15]
W. Zhang, E. Jenelius och X. Ma, "Freight transport platoon coordination and departure time scheduling under travel time uncertainty," Transportation Research Part E : Logistics and Transportation Review, vol. 98, s. 1-23, 2017.
[16]
J. Fu, E. Jenelius och H. N. Koutsopoulos, "Identification of workstations in earthwork operations from vehicle GPS data," Automation in Construction, vol. 83, s. 237-246, 2017.
[17]
Y. Zhang, E. Jenelius och K. Kottenhoff, "Impact of real-time crowding information : A Stockholm metro case study," Public Transport, vol. 9, no. 3, s. 483-499, 2017.
[18]
J. West och O. Cats, "Individual and Synergetic Effects of Transit Service Improvement Strategies : Simulation and Validation," Journal of transportation engineering, vol. 143, no. 6, 2017.
[19]
G. Gentile och O. Cats, "Introduction to the special issue on public transport modelling," EURO Journal on Transportation and Logistics, vol. 6, no. 3, s. 219-220, 2017.
[20]
I. Johansson et al., "Look-ahead speed planning for heavy-duty vehicle platoons using traffic information," Transportation Research Procedia, vol. 22, s. 561-569, 2017.
[21]
O. Cats och Z. Gkioulou, "Modelling the Impacts of Public Transport Reliability and Travel Information on Passengers’ Waiting Time Uncertainty," EURO Journal on Transportation and Logistics, vol. 6, no. 3, 2017.
[23]
X. Ma, F. Al Khoury och J. Jin, "Prediction of arterial travel time considering delay in vehicle re-identification," Transportation Research Procedia, vol. 22, s. 625-634, 2017.
[24]
A. Bastian, M. Börjesson och J. Eliasson, "Response to Wadud and Baierl : “Explaining ‘peak car’ with economic variables: An observation”," Transportation Research Part A : Policy and Practice, vol. 95, s. 386-389, 2017.
[25]
N. Rathnayake et al., "Saliva and plasma levels of cardiac-related biomarkers in post-myocardial infarction patients.," Journal of Clinical Periodontology, vol. 44, no. 7, s. 692-699, 2017.
[26]
M. Chen et al., "Service evaluation of public bicycle scheme from a user perspective," Transportation Research Record, vol. 2634, s. 28-34, 2017.
[27]
B. Kjellström et al., "Symptoms of depression and their relation to myocardial infarction and periodontitis," European Journal of Cardiovascular Nursing, vol. 16, no. 6, s. 468-474, 2017.
[28]
R. Fernandez Abenoza, O. Cats och Y. O. Susilo, "Travel satisfaction with public transport : Determinants, user classes, regional disparities and their evolution," Transportation Research Part A : Policy and Practice, vol. 95, s. 64-84, 2017.
[29]
M. Rahmani, H. N. Koutsopoulos och E. Jenelius, "Travel time estimation from sparse floating car data with consistent path inference : A fixed point approach," Transportation Research Part C : Emerging Technologies, vol. 85, s. 628-643, 2017.
[30]
M. Andersson, K. Brundell-Freij och J. Eliasson, "Validation of aggregate reference forecasts for passenger transport," Transportation Research Part A : Policy and Practice, vol. 96, s. 101-118, 2017.
[31]
A. Voltes-Dorta, H. Rodríguez-Déniz och P. Suau-Sánchez, "Vulnerability of the European air transport network to major airport closures from the perspective of passenger delays : Ranking the most critical airports," Transportation Research Part A : Policy and Practice, vol. 96, s. 119-145, 2017.
[32]
O. Cats, J. West och J. Eliasson, "A dynamic stochastic model for evaluating congestion and crowding effects in transit systems," Transportation Research Part B : Methodological, vol. 89, s. 43-57, 2016.
[33]
Q. Deng, "A General Simulation Framework for Modeling and Analysis of Heavy-Duty Vehicle Platooning," IEEE transactions on intelligent transportation systems (Print), vol. 17, no. 11, s. 3252-3262, 2016.
[34]
J. Jin och X. Ma, "A Learning-based Adaptive Group-based Signal Control System under Oversaturated Conditions," IFAC-PapersOnLine, vol. 49, no. 5, s. 291-296, 2016.
[35]
J. Jin och X. Ma, "A Learning-based Adaptive Signal Control System with Function Approximation," IFAC-PapersOnLine, vol. 49, no. 3, s. 5-10, 2016.
[36]
J. West, M. Börjesson och L. Engelson, "Accuracy of the Gothenburg congestion charges," Transportation Research Part A : Policy and Practice, vol. 94, s. 266-277, 2016.
[37]
J. Westin et al., "Achieving political acceptability for new transport infrastructure in congested urban regions," Transportation Research Part A : Policy and Practice, vol. 88, s. 286-303, 2016.
[38]
A. Silvano, H. Koutsopoulos och X. Ma, "Analysis of vehicle-bicycle interactions at unsignalized crossings : A probabilistic approach and application," Accident Analysis and Prevention, vol. 97, s. 38-48, 2016.
[39]
C. Anderstig et al., "Congestion Charges and Labour Market Imperfections," Journal of Transport Economics and Policy, vol. 50, s. 113-131, 2016.
[40]
D. B. E. Dharmowijoyo, Y. O. Susilo och A. Karlström, "Day-to-day variability in travellers' activity-travel patterns in the Jakarta metropolitan area," Transportation, vol. 43, no. 4, s. 601-621, 2016.
[41]
D. Asplund och J. Eliasson, "Does uncertainty make cost-benefit analyses pointless?," Transportation Research Part A : Policy and Practice, vol. 92, s. 195-205, 2016.
[43]
M. Börjesson, J. Eliasson och P. Kågesson, "Ett gigantiskt projekt med oklart syfte : DN Debatt," Dagens nyheter, no. 2016-01-04, 2016.
[44]
O. Cats och G. Loutos, "Evaluating the added-value of online bus arrival prediction schemes," Transportation Research Part A : Policy and Practice, vol. 86, s. 35-55, 2016.
[46]
M. Beser Hugosson et al., "Evaluation of the Swedish car fleet model using recent applications," Transport Policy, vol. 49, s. 30-40, 2016.
[47]
A. Bastian, M. Börjesson och J. Eliasson, "Explaining “peak car” with economic variables," Transportation Research Part A : Policy and Practice, vol. 2016, no. 88, s. 236-250, 2016.
[50]
M. Börjesson et al., "Infrastrukturbeslut måste grundas på samhällsekonomiska kalkyler : DN Debatt," Dagens nyheter, no. 2016-02-17, 2016.
Fullständig lista i KTH:s publikationsportal
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Senast ändrad: 2022-02-25