kth.sePublications
Change search
Link to record
Permanent link

Direct link
Publications (10 of 139) Show all publications
Leffler, D., Burghout, W., Cats, O. & Jenelius, E. (2024). An adaptive route choice model for integrated fixed and flexible transit systems. Transportmetrica B: Transport Dynamics, 12(1)
Open this publication in new window or tab >>An adaptive route choice model for integrated fixed and flexible transit systems
2024 (English)In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 12, no 1Article in journal (Refereed) Published
Abstract [en]

Over the past decade, there has been a surge of interest in the application of agent-based simulation models to evaluate flexible transit solutions characterized by different degrees of short-term flexibility in routing and scheduling. A central modelling decision in the development is how one chooses to represent the mode- and route-choices of travellers. The real-time adaptive behaviour of travellers is important to model in the presence of a flexible transit service, where the routing and scheduling of vehicles is highly dependent on supply-demand dynamics at a near real-time temporal resolution. We propose a utility-based transit route-choice model with representation of within-day adaptive travel behaviour and between-day learning where station-based fixed-transit, flexible-transit, and active-mode alternatives may be dynamically combined in a single path. To enable experimentation, this route-choice model is implemented within an agent-based dynamic public transit simulation framework. We first explore model properties in a choice between fixed- and flexible-transit modes for a toy network. The adaptive route choice framework is then applied to a case study based on a real-life branched transit service in Stockholm, Sweden. This case study illustrates level-of-service trade-offs, in terms of waiting times and in-vehicle times, between passenger groups and analyzes traveller mode choices within a mixed fixed- and flexible transit system. Results show that the proposed framework is capable of capturing dynamic route choices in mixed flexible and fixed transit systems and that the day-to-day learning model leads to stable fixed-flexible mode choices.

Place, publisher, year, edition, pages
Informa UK Limited, 2024
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-343550 (URN)10.1080/21680566.2024.2303047 (DOI)001148712800001 ()2-s2.0-85183167170 (Scopus ID)
Funder
EU, European Research Council, 804469Swedish Transport Administration, RV 2019/27044
Note

QC 20240219

Available from: 2024-02-16 Created: 2024-02-16 Last updated: 2024-02-19Bibliographically approved
Skoufas, A., Jenelius, E., Cebecauer, M., Cats, O. & Burghout, W. (2024). Ex-post assessment of public transport on-board crowding induced by new urban development. In: : . Paper presented at Transportation Research Board (TRB) 103rd Annual Meeting, Washington DC, USA, 7-11 January 2024.
Open this publication in new window or tab >>Ex-post assessment of public transport on-board crowding induced by new urban development
Show others...
2024 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-344062 (URN)
Conference
Transportation Research Board (TRB) 103rd Annual Meeting, Washington DC, USA, 7-11 January 2024
Funder
Region Stockholm, RS 2022-0210
Note

QC 20240311

Available from: 2024-02-29 Created: 2024-02-29 Last updated: 2024-03-12Bibliographically approved
Khan, M. A., Burghout, W., Cats, O., Jenelius, E. & Cebecauer, M. (2023). A comprehensive review of viability and operability of dynamic charging solutions for autonomous electric vehicles. In: : . Paper presented at 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023.
Open this publication in new window or tab >>A comprehensive review of viability and operability of dynamic charging solutions for autonomous electric vehicles
Show others...
2023 (English)Conference paper, Oral presentation only (Other academic)
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-344137 (URN)
Conference
12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023
Funder
Swedish Transport Administration, TRV 2022/8287
Note

QC 20240304

Available from: 2024-03-04 Created: 2024-03-04 Last updated: 2024-03-04Bibliographically approved
Peftitsi, S., Jenelius, E. & Cats, O. (2023). Evaluating skip-stop policy in urban rail transit systems based on passenger cost. Journal of Public Transportation, 25, Article ID 100064.
Open this publication in new window or tab >>Evaluating skip-stop policy in urban rail transit systems based on passenger cost
2023 (English)In: Journal of Public Transportation, ISSN 1077-291X, Vol. 25, article id 100064Article in journal (Refereed) Published
Abstract [en]

Increasing the operating speed in public transport systems can increase the system capacity, reduce the overall passenger travel time and improve experienced comfort. Skip-stop operation, where subsets of the trains operating on the same tracks skip certain intermediate stops, can accelerate the service and improve passengers’ overall travel experience. This paper considers the problem of deciding whether skip-stop operation is beneficial for a given line and which stopping scheme is the most effective. In particular, we investigate whether a simple decision rule for determining the stopping pattern under a skip-stop strategy, derived from the expected weighted time benefits to the passengers, can reliably determine the most suitable skip-stop scheme. To evaluate the impact of alternative stop-skipping strategies, we adopt the existing public transit assignment model BusMezzo, which allows for a realistic representation of passengers’ experienced waiting and in-vehicle travel times and the resulting trade-offs between passenger costs and benefits. The decision rule is applied to a set of high-frequency urban rail lines in Stockholm, Sweden. We show that a simple decision rule may not be a robust way of determining a beneficial skip-stop scheme. The results from the case study reveal that the skip-stop operation can have an overall positive impact on passenger generalized travel time but only under certain conditions at the stops along the line.

Place, publisher, year, edition, pages
Elsevier BV, 2023
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-337216 (URN)10.1016/j.jpubtr.2023.100064 (DOI)001082280200001 ()2-s2.0-85171630626 (Scopus ID)
Funder
Swedish Transport Administration, TRV2019/16219
Note

QC 20230928

Available from: 2023-09-27 Created: 2023-09-27 Last updated: 2023-11-10Bibliographically approved
Cats, O. (2023). Identifying human mobility patterns using smart card data. Transport reviews, Article ID 2251688.
Open this publication in new window or tab >>Identifying human mobility patterns using smart card data
2023 (English)In: Transport reviews, ISSN 0144-1647, E-ISSN 1464-5327, article id 2251688Article in journal (Refereed) Published
Abstract [en]

Human mobility is subject to collective dynamics that are the outcome of numerous individual choices. Smart card data which originated as a means of facilitating automated fare collection has emerged as an invaluable source for analysing mobility patterns. A variety of clustering and segmentation techniques has been adopted and adapted for applications ranging from market segmentation to the analysis of urban activity locations. In this paper we provide a systematic review of the state-of-the-art on clustering public transport users based on their temporal or spatial-temporal characteristics as well as studies that use the latter to characterise individual stations, lines or urban areas. Furthermore, a critical review of the literature reveals an important distinction between studies focusing on the intra-personal variability of travel patterns versus those concerned with the inter-personal variability of travel patterns. We synthesise the key analysis approaches as well as substantive findings and subsequently identify common trends and shortcomings and outline related directions for further research.

Place, publisher, year, edition, pages
Informa UK Limited, 2023
Keywords
Travel patterns, public transport, smart card data, market segmentation, clustering, urban analytics
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-336990 (URN)10.1080/01441647.2023.2251688 (DOI)001057517300001 ()2-s2.0-85168903277 (Scopus ID)
Note

QC 20230922

Available from: 2023-09-22 Created: 2023-09-22 Last updated: 2023-09-22Bibliographically approved
Kolkowski, L., Cats, O., Dixit, M., Verma, T., Jenelius, E., Cebecauer, M. & Rubensson, I. J. (2023). Measuring activity-based social segregation using public transport smart card data. Journal of Transport Geography, 110, Article ID 103642.
Open this publication in new window or tab >>Measuring activity-based social segregation using public transport smart card data
Show others...
2023 (English)In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 110, article id 103642Article in journal (Refereed) Published
Abstract [en]

While social segregation is often assessed using static data concerning residential areas, the extent to which people with diverse background travel to the same destinations may offer an additional perspective on the extent of urban segregation. This study further contributes to the measurement of activity-based social segregation between multiple groups using public transport smart card data. In particular, social segregation is quantified using the ordinal information theory index to measure the income group mix at public transport journey destination zones. The method is applied to the public transport smart card data of Stockholm County, Sweden. Applying the index on 2017-2020 data sets for a selected week, shows significant differences between income groups' segregation along the radial public transport corridors following the opening of a major rail project in the summer of 2017. The overall slight decrease in segregation over the years can be linked to declining segregation in the city center as a travel destination and its public transport hubs. Increasing zonal segregation is observed in suburban and rural zones with commuter train stations. This method helps to quantify social segregation, enriching the analysis of urban segregation and can aid in evaluating policies based on the dynamics of social life.

Place, publisher, year, edition, pages
Elsevier BV, 2023
Keywords
Social segregation, Public transport, Ex-post transport appraisal, Smart card data
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-333756 (URN)10.1016/j.jtrangeo.2023.103642 (DOI)001032026400001 ()2-s2.0-85163927737 (Scopus ID)
Note

QC 20230810

Available from: 2023-08-10 Created: 2023-08-10 Last updated: 2023-08-10Bibliographically approved
Hatzenbühler, J., Jenelius, E., Gidofalvi, G. & Cats, O. (2023). Modular vehicle routing for combined passenger and freight transport. Transportation Research Part A: Policy and Practice, 173, 103688-103688, Article ID 103688.
Open this publication in new window or tab >>Modular vehicle routing for combined passenger and freight transport
2023 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 173, p. 103688-103688, article id 103688Article in journal (Refereed) Published
Abstract [en]

This study investigates the potential of modular vehicle concepts and consolidation to increasethe efficiency of urban freight and passenger transport. Modularity is achieved by connectingmultiple vehicles together to form a platoon. Consolidation is realized by integrating passengerand freight demand in the routing problem. Vehicles are specific for each demand type but canbe connected freely, allowing the transport of multiple demand types in the same platoon. Therouting problem formulation considers travel time costs, travel distance costs, fleet size costs,and unserved requests costs. The operations are modeled in a novel modular multi-purposepickup and delivery problem (MMP-PDP) which is solved using CPLEX and Adaptive LargeNeighborhood Search (ALNS). In an extensive scenario study, the potential of the modularvehicle type is explored for different spatial and temporal demand distributions. A parameterstudy on vehicle capacity, vehicle range and platoon cost saving is performed to assess theirinfluence on efficiency. The experiments indicate a cost saving of 48% due to modularity and anadditional 9% due to consolidation. The reduction mainly stems from reduced operating costsand reduced trip duration, while the same number of requests can be served in all cases. Emptyvehicle kilometers are reduced by more than 60% by consolidation and modularity. A large-scalecase study in Stockholm highlights the practical applicability of the modular transport system.The proposed model and optimization framework can be used by companies and policy makersto identify required fleet sizes, optimal vehicle routes and cost savings due to different typesof operation and vehicle technology

Place, publisher, year, edition, pages
Elsevier BV, 2023
Keywords
Public transportation, Freight transportation, Modular vehicles, Heuristic optimization
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-328193 (URN)10.1016/j.tra.2023.103688 (DOI)001053303900001 ()2-s2.0-85154022246 (Scopus ID)
Funder
Integrated Transport Research Lab (ITRL)Vinnova, 2020-00565Swedish National Infrastructure for Computing (SNIC)
Note

QC 20230608

Available from: 2023-06-05 Created: 2023-06-05 Last updated: 2023-09-21Bibliographically approved
Cats, O., Derrible, S. & Chow, J. (2023). Special issue on "Reliability and resilience of emerging mobility systems", an editorial note. Transportmetrica B: Transport Dynamics, 11(1), 1092-1094
Open this publication in new window or tab >>Special issue on "Reliability and resilience of emerging mobility systems", an editorial note
2023 (English)In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 11, no 1, p. 1092-1094Article in journal, Editorial material (Other academic) Published
Abstract [en]

This Editorial Note accompanies the special issue devoted to the development of new concepts, theories and methods that address reliability and resilience related to the planning, dynamic operation, and level of service of novel mobility systems. This special issue on 'Reliability and Resilience of Emerging Mobility Systems' consists of seven papers which are dedicated to methodological and theoretical developments as well as advanced applications in this domain. Several of the contributions originated from works presented at INSTR2021 (the 8th International Symposium on Transport Network Reliability). In this Editorial note we reflect on the contributions made in each of the articles included in this special issue.

Place, publisher, year, edition, pages
Informa UK Limited, 2023
Keywords
Network robustness, service reliability, disruptions, travel time variability
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-325000 (URN)10.1080/21680566.2023.2176274 (DOI)000942658800001 ()2-s2.0-85149363605 (Scopus ID)
Note

QC 20230404

Available from: 2023-03-29 Created: 2023-03-29 Last updated: 2023-04-04Bibliographically approved
Kolkowski, L., Dixit, M., Cats, O., Verma, T. & Jenelius, E. (2022). Measuring activity-based social segregation using public transport smart card data. In: : . Paper presented at 10th Symposium of the European Association for Research in Transportation (hEART), Leuven, Belgium, 1-3 June 2022.
Open this publication in new window or tab >>Measuring activity-based social segregation using public transport smart card data
Show others...
2022 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

While social segregation is often assessed using static data concerning residential areas, the extentto which people with diverse background travel to the same destinations may offer an additional perspective on the extent of urban segregation. This study further contributes to the measurement of activity-based social segregation between multiple groups using public transport smart card data. In particular, social segregation is measured using the ordinal information theory index to measure the income group mix at public transport journey destination zones. The method isapplied to the public transport smart card data of Stockholm County, Sweden. Applying the index on 2017-2020 smart card data sets for a selected week, shows significant differences between income groups’ segregation along the radial public transport corridors. The overall slight decrease in income segregation over the years can be linked to declining segregation in the city center as a travel destination and its public transport hubs. Increasing zonal segregation is observed in suburban and rural zones with commuter train stations. This method helps to quantify social segregation, enriching the analysis of urban segregation and can aid in evaluating policies based on the dynamics of social life.

Keywords
Social segregation, Public transport, Ex-post transport appraisal, Smart card data analysis
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-333691 (URN)
Conference
10th Symposium of the European Association for Research in Transportation (hEART), Leuven, Belgium, 1-3 June 2022
Funder
Region Stockholm, RS 2019-0499
Note

QC 20230809

Available from: 2023-08-09 Created: 2023-08-09 Last updated: 2023-08-09Bibliographically approved
Peftitsi, S., Jenelius, E. & Cats, O. (2022). Modeling the effect of real-time crowding information (RTCI) on passenger distribution in trains. Transportation Research Part A: Policy and Practice, 166, 354-368
Open this publication in new window or tab >>Modeling the effect of real-time crowding information (RTCI) on passenger distribution in trains
2022 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 166, p. 354-368Article in journal (Refereed) Published
Abstract [en]

Overcrowding has become a big challenge for public transport systems, affecting passengers' travel experience. At the same time, service supply is often underutilized due to large variations in crowding across services, vehicle trips on the same service and different compartments of the same vehicle. Real-time operational measures, such as information provision, can potentially reduce on-board crowding unevenness and its negative effects. In this study, we extend a dynamic public transport simulation model to provide passengers with predictive real-time crowding information (RTCI) concerning individual train cars. Passengers utilize this information when choosing a specific train car to board. It is demonstrated through a case study for the Stockholm metro network area that in the presence of car-specific crowding information, passengers alter their car boarding choices to avoid on-board crowding, leading to a more even passenger distribution inside trains. We find that passengers' travel experience improves with the provisioning of RTCI, which is a result of the lower on-board crowding unevenness. Moreover, this improvement increases with increased demand levels but only up to a certain point beyond which passengers do not gain from switching train cars.

Place, publisher, year, edition, pages
Elsevier BV, 2022
Keywords
Public transport, Real-time crowding information, Passenger distribution
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-322306 (URN)10.1016/j.tra.2022.10.011 (DOI)000886627200005 ()2-s2.0-85141912721 (Scopus ID)
Note

QC 20221212

Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2022-12-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4506-0459

Search in DiVA

Show all publications