Journal Articles
Journal Articles
[1]
A. Skoufas and E. Jenelius,
"Youths on the move : Social disparities in public transportation use among school students,"
Travel Behaviour & Society, vol. 43, 2026.
[2]
Q. Zhang et al.,
"Understanding Bus Network Delay Propagation: Integration of Causal Inference and Complex Network Theory,"
Journal of Transport Geography, 2025.
[3]
B. Liu et al.,
"How incentives affect commuter willingness for public transport : Analysis of travel mode shift across various cities,"
Travel Behaviour & Society, vol. 39, 2025.
[4]
Q. Zhang et al.,
"Understanding bus network delay propagation: Integration of causal inference and complex network theory,"
Journal of Transport Geography, vol. 123, 2025.
[5]
Q. Zhang et al.,
"Quantifying Variable Contributions to Bus Operation Delays Considering Causal Relationships,"
Transportation Research, Part E: Logistics and Transportation Review, vol. 194, pp. 103881, 2025.
[6]
R. Jia et al.,
"i-CLTP : Integrated contrastive learning with transformer framework for traffic state prediction and network-wide analysis,"
Transportation Research Part C : Emerging Technologies, vol. 171, 2025.
[7]
Z. Qin et al.,
"LingoTrip : Spatiotemporal context prompt driven large language model for individual trip prediction,"
Journal of Public Transportation, vol. 27, 2025.
[8]
T. K. Yong, Z. Ma and C.-W. Palmqvist,
"AP-GRIP evaluation framework for data-driven train delay prediction models : systematic literature review,"
European Transport Research Review, vol. 17, no. 1, 2025.
[9]
L. Wang et al.,
"Data-driven analysis and modeling of individual longitudinal behavior response to fare incentives in public transport,"
Transportation, vol. 52, no. 1, pp. 263-286, 2025.
[10]
S. Zahedi, H. N. Koutsopoulos and Z. Ma,
"Dynamic interlining in bus operations,"
Transportation, vol. 52, no. 3, pp. 827-850, 2025.
[11]
H. Chen, J. Kronqvist and Z. Ma,
"A choice-based optimization approach for service operations in multimodal mobility systems,"
Transportation Research Part C : Emerging Technologies, vol. 171, 2025.
[12]
J. Liu et al.,
"Urban Rail Transit Fare Reconciliation Method Using Multi-Source Data,"
Transportation Research Record, 2025.
[13]
B. Djordjevic et al.,
"Quantifying the impacts of digital automatic coupling on rail freight in Europe : Overview and case studies,"
Research in Transportation Business and Management (RTBM), vol. 60, 2025.
[14]
A. Skoufas et al.,
"Ex-post assessment of public transportation on-board crowding induced by new urban developments,"
Cities, vol. 165, 2025.
[15]
Y. Ling et al.,
"Bus driver deceleration behavior modeling at intersections using multi-source on-board sensor data,"
Journal of Public Transportation, vol. 27, 2025.
[16]
J. Hatzenbühler et al.,
"Multi-purpose pickup and delivery problem for combined passenger and freight transport,"
Transportation, vol. 52, pp. 1975-2006, 2025.
[17]
M. A. Khan et al.,
"Charge-on-the-move solutions for future mobility : A review of current and future prospects,"
Transportation Research Interdisciplinary Perspectives, vol. 29, 2025.
[18]
M. van Ardenne et al.,
"Personalised passenger information systems in public transport: a review and a 5-level personalisation taxonomy,"
Transport reviews, pp. 1-32, 2025.
[19]
L. Wang et al.,
"Agentic Large Language Models for day-to-day route choices,"
Transportation Research Part C : Emerging Technologies, vol. 180, 2025.
[20]
J. Y. Lin, E. Jenelius and M. Cebecauer,
"Monitoring public transport crowding exposure : Stockholm before, during, and after the COVID-19 pandemic,"
Journal of Public Transportation, vol. 27, 2025.
[21]
F. Bruno et al.,
"Replacing short-haul flights with train travel : Exploring impacts, capacity requirements and policy implications,"
Transport Policy, vol. 171, pp. 326-343, 2025.
[22]
M. M. Zefreh and D. Esztergár-Kiss,
"The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions : A hybrid choice modeling framework,"
Transportation Research Interdisciplinary Perspectives, vol. 32, 2025.
[23]
B. Berg Wincent, E. Jenelius and W. Burghout,
"Shared e-scooter parking regulation : Effects on rider attitudes, perceptions, and use,"
Transportation Research Part A : Policy and Practice, vol. 199, 2025.
[24]
M. A. Khan et al.,
"A Simulation Framework for Evaluating Mobile Autonomous Charging pod Operations,"
IEEE Open Journal of Intelligent Transportation Systems, vol. 6, pp. 1282-1297, 2025.
[25]
Q. Zhang et al.,
"Mobility knowledge graph : review and its application in public transport,"
Transportation, vol. 52, no. 3, pp. 1119-1145, 2025.
[26]
Y. Tang et al.,
"RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks,"
IEEE Transactions on Intelligent Transportation Systems, 2025.
[27]
M. Movaghar, E. Jenelius and D. Hunter,
"Machine learning framework to estimate ridership loss in public transport during external crises : case study of bus network in Stockholm,"
European Transport Research Review, vol. 17, no. 1, 2025.
[28]
L. Wang et al.,
"Scalable and reliable multi-agent reinforcement learning for traffic assignment,"
Communications in Transportation Research, vol. 5, 2025.
[29]
Y. Wu et al.,
"Data-driven causal behaviour modelling from trajectory data : A case for fare incentives in public transport,"
Journal of Public Transportation, vol. 27, 2025.
[30]
Q. Zhang, Z. Ma and Z. Cui,
"A causality-based explainable AI method for bus delay propagation analysis,"
Communications in Transportation Research, vol. 5, 2025.
[31]
Z. Qin et al.,
"TransGTE : a transformer-based model with geographical trajectory embedding for the individual trip destination prediction,"
Expert systems with applications, vol. 287, 2025.
[32]
K. Ng, C. Chen and E. Jenelius,
"The 15-minute city around one's trajectory: Evaluating food accessibility for transit users in Stockholm, Sweden,"
Journal of Transport Geography, vol. 127, 2025.
[33]
B. Djordjevic et al.,
"An optimisation-based digital twin for automated operation of rail level crossings,"
Expert systems with applications, vol. 239, 2024.
[34]
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.
[35]
C. Sánchez and I. Nordmark,
"Knowledge hub : ESEP4Freight's contribution to rail freight information,"
Global Railway Review, vol. 30, no. 1, pp. 38-39, 2024.
[36]
M. S. Middela et al.,
"Greenhouse gas emissions from heavy-duty vehicles in Ireland,"
Transportation Research Part D : Transport and Environment, vol. 130, 2024.
[37]
D. Ivina and Z. Ma,
"Stability assessment of railway trackwork scheduling in Sweden,"
European Transport Research Review, vol. 16, no. 1, 2024.
[38]
E. Tan et al.,
"MVOPFAD : Multiview Online Passenger Flow Anomaly Detection,"
IEEE Sensors Journal, vol. 24, no. 9, pp. 14668-14681, 2024.
[39]
H. Yan et al.,
"Improving multi-modal transportation recommendation systems through contrastive De-biased heterogenous graph neural networks,"
Transportation Research Part C : Emerging Technologies, vol. 164, 2024.
[40]
I. Johansson and A. Peterson,
"Rail platform allocation for reliable interchanges,"
Transportation Research Procedia, vol. 78, pp. 198-205, 2024.
[41]
R. Li et al.,
"Special issue in transportation research part A : Policy and practice evaluation of transport policy based on large-scale empirical data,"
Transportation Research Part A : Policy and Practice, vol. 185, 2024.
[42]
N. Zarbakhshnia and Z. Ma,
"Critical success factors for the adoption of AVs in sustainable urban transportation,"
Transport Policy, vol. 156, pp. 62-76, 2024.
[43]
E. Krmac and B. Djordjevic,
"Digital Twins for Railway Sector : Current State and Future Directions,"
IEEE Access, vol. 12, pp. 108597-108615, 2024.
[44]
S. Tsigdinos et al.,
"A worldwide review of formal national street classification plans enhanced via an analytical hierarchy process : Street classification as a tool for more sustainable cities,"
Cities, vol. 154, 2024.
[45]
S. Zahedi, H. N. Koutsopoulos and Z. Ma,
"Improving demand responsive transit services : Insights from the London field test,"
Journal of Public Transportation, vol. 26, 2024.
[46]
B. Liu et al.,
"Designing a carbon-trading incentive scheme for mode shifts in multi-modal transport systems,"
Transportation Research Part E : Logistics and Transportation Review, vol. 192, 2024.
[47]
P. Huang and Z. Ma,
"Unveiling electric vehicle (EV) charging patterns and their transformative role in electricity balancing and delivery : Insights from real-world data in Sweden,"
Renewable energy, vol. 236, 2024.
[48]
M. Cebecauer et al.,
"Revealing representative day-types in transport networks using traffic data clustering,"
Journal of Intelligent Transportation Systems / Taylor & Francis, vol. 8, no. 5, pp. 695-718, 2024.
[49]
M. Al-Mousa, H. Sipilä and O. Fröidh,
"Railway capacity utilization and service quality of freight trains with increased top speed in mixed traffic,"
Transportation Research Interdisciplinary Perspectives, vol. 28, 2024.
[50]
S. Liu et al.,
"MuGIL : A Multi-Graph Interaction Learning Network for Multi-Task Traffic Prediction,"
Knowledge-Based Systems, vol. 306, 2024.
Journal Articles (2017-12-31)
[1]
O. Cats and 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, pp. 77-96, 2018.
[2]
I. Kristoffersson and L. Engelson,
"Estimating preferred departure times of road users in a large urban network,"
Transportation, vol. 45, no. 3, pp. 767-787, 2018.
[3]
J. Jin and X. Ma,
"A Decentralized Traffic Light Control System Based on Adaptive Learning,"
IFAC-PapersOnLine, vol. 50, no. 1, pp. 5301-5306, 2017.
[4]
J. Jin and X. Ma,
"A group-based traffic signal control with adaptive learning ability,"
Engineering applications of artificial intelligence, vol. 65, pp. 282-293, 2017.
[5]
M. Fadaei Oshyani, O. Cats and 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, pp. 2130-2149, 2017.
[6]
J. Jin, X. Ma and I. Kosonen,
"A stochastic optimization framework for road traffic controls based on evolutionary algorithms and traffic simulation,"
Advances in Engineering Software, vol. 114, pp. 348-360, 2017.
[7]
M. Cebecauer and Ľ. Buzna,
"A versatile adaptive aggregation framework for spatially large discrete location-allocation problems,"
Computers & industrial engineering, vol. 111, pp. 364-380, 2017.
[8]
P. Suau-Sanchez, A. Voltes-Dorta and H. Rodríguez-Déniz,
"An assessment of the potential for self-connectivity at European airports in holiday markets,"
Tourism Management, vol. 62, pp. 54-64, 2017.
[9]
J. Jin, X. Ma and I. Kosonen,
"An intelligent control system for traffic lights with simulation-based evaluation,"
Control Engineering Practice, vol. 58, pp. 24-33, 2017.
[10]
M. I. Smaradottir et al.,
"Copeptin in patients with acute myocardial infarction and newly detected glucose abnormalities - A marker of increased stress susceptibility? : A report from the Glucose in Acute Myocardial Infarction cohort,"
Diabetes & Vascular Disease Research, vol. 14, no. 2, pp. 69-76, 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, pp. 38-46, 2017.
[12]
I. Kristoffersson, L. Engelson and M. Börjesson,
"Efficiency vs equity : Conflicting objectives of congestion charges,"
Transport Policy, vol. 60, pp. 99-107, 2017.
[13]
V. Ritsinger et al.,
"Elevated levels of adipokines predict outcome after acute myocardial infarction : A long-term follow-up of the Glucose Tolerance in Patients with Acute Myocardial Infarction cohort,"
Diabetes & Vascular Disease Research, vol. 14, no. 2, pp. 77-87, 2017.
[14]
Y. O. Susilo and 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 and X. Ma,
"Freight transport platoon coordination and departure time scheduling under travel time uncertainty,"
Transportation Research Part E : Logistics and Transportation Review, vol. 98, pp. 1-23, 2017.
[16]
J. Fu, E. Jenelius and H. N. Koutsopoulos,
"Identification of workstations in earthwork operations from vehicle GPS data,"
Automation in Construction, vol. 83, pp. 237-246, 2017.
[17]
Y. Zhang, E. Jenelius and K. Kottenhoff,
"Impact of real-time crowding information : A Stockholm metro case study,"
Public Transport, vol. 9, no. 3, pp. 483-499, 2017.
[18]
J. West and 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 and O. Cats,
"Introduction to the special issue on public transport modelling,"
EURO Journal on Transportation and Logistics, vol. 6, no. 3, pp. 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, pp. 561-569, 2017.
[21]
O. Cats and 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.
[22]
T. Ivert et al.,
"Platelet function one and three months after coronary bypass surgery in relation to once or twice daily dosing of acetylsalicylic acid,"
Thrombosis Research, vol. 149, pp. 64-69, 2017.
[23]
X. Ma, F. Al Khoury and J. Jin,
"Prediction of arterial travel time considering delay in vehicle re-identification,"
Transportation Research Procedia, vol. 22, pp. 625-634, 2017.
[24]
A. Bastian, M. Börjesson and J. Eliasson,
"Response to Wadud and Baierl : “Explaining ‘peak car’ with economic variables: An observation”,"
Transportation Research Part A : Policy and Practice, vol. 95, pp. 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, pp. 692-699, 2017.
[26]
M. Chen et al.,
"Service evaluation of public bicycle scheme from a user perspective,"
Transportation Research Record, vol. 2634, pp. 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, pp. 468-474, 2017.
[28]
R. Fernandez Abenoza, O. Cats and 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, pp. 64-84, 2017.
[29]
M. Rahmani, H. N. Koutsopoulos and 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, pp. 628-643, 2017.
[30]
M. Andersson, K. Brundell-Freij and J. Eliasson,
"Validation of aggregate reference forecasts for passenger transport,"
Transportation Research Part A : Policy and Practice, vol. 96, pp. 101-118, 2017.
[31]
A. Voltes-Dorta, H. Rodríguez-Déniz and 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, pp. 119-145, 2017.
[32]
O. Cats, J. West and J. Eliasson,
"A dynamic stochastic model for evaluating congestion and crowding effects in transit systems,"
Transportation Research Part B : Methodological, vol. 89, pp. 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, vol. 17, no. 11, pp. 3252-3262, 2016.
[34]
J. Jin and X. Ma,
"A Learning-based Adaptive Group-based Signal Control System under Oversaturated Conditions,"
IFAC-PapersOnLine, vol. 49, no. 5, pp. 291-296, 2016.
[35]
J. Jin and X. Ma,
"A Learning-based Adaptive Signal Control System with Function Approximation,"
IFAC-PapersOnLine, vol. 49, no. 3, pp. 5-10, 2016.
[36]
J. West, M. Börjesson and L. Engelson,
"Accuracy of the Gothenburg congestion charges,"
Transportation Research Part A : Policy and Practice, vol. 94, pp. 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, pp. 286-303, 2016.
[38]
A. Silvano, H. Koutsopoulos and X. Ma,
"Analysis of vehicle-bicycle interactions at unsignalized crossings : A probabilistic approach and application,"
Accident Analysis and Prevention, vol. 97, pp. 38-48, 2016.
[39]
C. Anderstig et al.,
"Congestion Charges and Labour Market Imperfections,"
Journal of Transport Economics and Policy, vol. 50, pp. 113-131, 2016.
[40]
D. B. E. Dharmowijoyo, Y. O. Susilo and A. Karlström,
"Day-to-day variability in travellers' activity-travel patterns in the Jakarta metropolitan area,"
Transportation, vol. 43, no. 4, pp. 601-621, 2016.
[41]
D. Asplund and J. Eliasson,
"Does uncertainty make cost-benefit analyses pointless?,"
Transportation Research Part A : Policy and Practice, vol. 92, pp. 195-205, 2016.
[42]
V. Ritsinger et al.,
"Elevated levels of adipokines predict outcome after acute myocardial infarction. Long-term follow-up of the GAMI cohort,"
EUROPEAN HEART JOURNAL, vol. 37, pp. 459-459, 2016.
[43]
O. Cats and G. Loutos,
"Evaluating the added-value of online bus arrival prediction schemes,"
Transportation Research Part A : Policy and Practice, vol. 86, pp. 35-55, 2016.
[44]
M. Fadaei and O. Cats,
"Evaluating the impacts and benefits of public transport design and operational measures,"
Transport Policy, 2016.
[45]
M. Beser Hugosson et al.,
"Evaluation of the Swedish car fleet model using recent applications,"
Transport Policy, vol. 49, pp. 30-40, 2016.
[46]
I. Johansson et al.,
"Glycosylated haemoglobin predicts mortality in patients with heart failure and unknown diabetes : insights from the Swedish Heart Failure registry (SwedeHF),"
Diabetologia, vol. 59, pp. S532-S532, 2016.
[47]
I. Johansson et al.,
"Glycosylated haemoglobin predicts mortality in patients with heart failure and unknown diabetes : insights from the Swedish heart failure registry (SwedeHF),"
EUROPEAN HEART JOURNAL, vol. 37, pp. 733-733, 2016.
[48]
J. Eliasson,
"Is congestion pricing fair? : Consumer and citizen perspectives on equity effects,"
Transport Policy, vol. 52, pp. 1-15, 2016.
[49]
O. Cats and M. Hartl,
"Modelling public transport on-board congestion : comparing schedule-based and agent-based assignment approaches and their implications,"
Journal of Advanced Transportation, vol. 50, no. 6, pp. 1209-1224, 2016.
[50]
N. Ahmad Termida, Y. O. Susilo and J. P. Franklin,
"Observing dynamic behavioural responses due to the extension of a tram line by using panel survey,"
Transportation Research Part A : Policy and Practice, vol. 86, pp. 78-95, 2016.