Journal Articles
Journal Articles
[1]
Q. Zhang et al.,
"Understanding Bus Network Delay Propagation: Integration of Causal Inference and Complex Network Theory,"
Journal of Transport Geography, 2025.
[2]
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.
[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]
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.
[7]
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.
[8]
Z. Qin et al.,
"LingoTrip : Spatiotemporal context prompt driven large language model for individual trip prediction,"
Journal of Public Transportation, vol. 27, 2025.
[9]
J. Liu et al.,
"Urban Rail Transit Fare Reconciliation Method Using Multi-Source Data,"
Transportation Research Record, 2025.
[10]
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.
[11]
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.
[12]
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.
[13]
S. Zahedi, H. N. Koutsopoulos and Z. Ma,
"Dynamic interlining in bus operations,"
Transportation, vol. 52, no. 3, pp. 827-850, 2025.
[14]
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.
[15]
B. Djordjevic et al.,
"An optimisation-based digital twin for automated operation of rail level crossings,"
Expert systems with applications, vol. 239, 2024.
[16]
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.
[17]
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.
[18]
M. S. Middela et al.,
"Greenhouse gas emissions from heavy-duty vehicles in Ireland,"
Transportation Research Part D : Transport and Environment, vol. 130, 2024.
[19]
D. Ivina and Z. Ma,
"Stability assessment of railway trackwork scheduling in Sweden,"
European Transport Research Review, vol. 16, no. 1, 2024.
[20]
E. Tan et al.,
"MVOPFAD : Multiview Online Passenger Flow Anomaly Detection,"
IEEE Sensors Journal, vol. 24, no. 9, pp. 14668-14681, 2024.
[21]
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.
[22]
I. Johansson and A. Peterson,
"Rail platform allocation for reliable interchanges,"
Transportation Research Procedia, vol. 78, pp. 198-205, 2024.
[23]
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.
[24]
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.
[25]
E. Krmac and B. Djordjevic,
"Digital Twins for Railway Sector : Current State and Future Directions,"
IEEE Access, vol. 12, pp. 108597-108615, 2024.
[26]
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.
[27]
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.
[28]
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.
[29]
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.
[30]
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.
[31]
W. Jiang, H. N. Koutsopoulos and Z. Ma,
"A Reverse Auction-Based Individualized Incentive System for Transit Mobility Management,"
IEEE transactions on intelligent transportation systems (Print), vol. 25, no. 11, pp. 15871-15885, 2024.
[32]
W. Zhou et al.,
"Traffic Signal Phase and Timing Estimation Using Trajectory Data From Radar Vision Integrated Camera,"
IEEE transactions on intelligent transportation systems (Print), vol. 25, no. 11, pp. 18279-18291, 2024.
[33]
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.
[34]
S. Liu et al.,
"MuGIL : A Multi-Graph Interaction Learning Network for Multi-Task Traffic Prediction,"
Knowledge-Based Systems, vol. 306, 2024.
[35]
Q. Zhang et al.,
"Real-time bus arrival delays analysis using seemingly unrelated regression model,"
Transportation, 2024.
[36]
G. Mukunzi, E. Jansson and C. W. Palmqvist,
"Factors influencing restoration time in railways,"
Transportation Research Interdisciplinary Perspectives, vol. 28, 2024.
[37]
Z. Zhang et al.,
"Improving 3-day deterministic air pollution forecasts using machine learning algorithms,"
Atmospheric Chemistry And Physics, vol. 24, no. 2, pp. 807-851, 2024.
[38]
B. Berg Wincent, E. Jenelius and W. Burghout,
"Shared e-scooters : A last-minute mode?,"
Travel Behaviour & Society, vol. 37, 2024.
[39]
Y. Song et al.,
"Dynamic Recursive Logit Model for Vehicle Driving Route Choices and Path Inference With Incomplete Fixed Location Sensor Data,"
IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 12, pp. 19929-19942, 2024.
[40]
B. Hong and W. Burghout,
"An Adaptive Estimation Approach for Integrating Real-World Operation Dynamics in Engine-Out NOx Emission Modeling of a Wheel Loader,"
Emission Control Science and Technology, vol. 10, no. 2, pp. 93-109, 2024.
[41]
N. Minbashi et al.,
"Enhancing freight train delay prediction with simulation‐assisted machine learning,"
IET Intelligent Transport Systems, vol. 18, no. 12, pp. 2359-2374, 2024.
[42]
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.
[43]
A. Skoufas et al.,
"Assessing contributions of passenger groups to public transportation crowding,"
Journal of Public Transportation, vol. 26, 2024.
[44]
J. Hatzenbühler et al.,
"Multi-purpose pickup and delivery problem for combined passenger and freight transport,"
Transportation, 2024.
[45]
O. Cats,
"Identifying human mobility patterns using smart card data,"
Transport reviews, vol. 44, no. 1, pp. 213-243, 2024.
[46]
O. Cats, S. Derrible and J. Chow,
"Special issue on "Reliability and resilience of emerging mobility systems", an editorial note,"
Transportmetrica B : Transport Dynamics, vol. 11, no. 1, pp. 1092-1094, 2023.
[47]
M. M. Zefreh et al.,
"Intention to use private autonomous vehicles in developed and developing countries : What are the differences among the influential factors, mediators, and moderators?,"
Travel Behaviour & Society, vol. 32, 2023.
[48]
L. Wang et al.,
"Human-centric multimodal deep (HMD) traffic signal control,"
IET Intelligent Transport Systems, vol. 17, no. 4, pp. 744-753, 2023.
[49]
B. Mo et al.,
"Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data : An Aggregated Time-Space Hypernetwork Approach,"
Transportation Science, vol. 57, no. 2, pp. 313-335, 2023.
[50]
K. Tuncel, H. N. Koutsopoulos and Z. Ma,
"An integrated ride-matching and vehicle-rebalancing model for shared mobility on-demand services,"
Computers & Operations Research, vol. 159, 2023.
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 (Print), 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.