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Hosseini, R., Tong, D., Lim, S., Sun, Q. C., Sohn, G., Gidofalvi, G., . . . Seyedabrishami, S. (2023). A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data. ISPRS International Journal of Geo-Information, 12(7), Article ID 288.
Open this publication in new window or tab >>A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data
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2023 (English)In: ISPRS International Journal of Geo-Information, ISSN 2220-9964, Vol. 12, no 7, article id 288Article in journal (Refereed) Published
Abstract [en]

Unlike car navigation, where almost all vehicles can traverse every route, one route might not be optimal or even suitable for all pedestrians. Route geometry information, including tortuosity, twists and turns along roads, junctions, and road slopes, among others, matters a great deal for specific types of pedestrians, particularly those with limited mobility, such as wheelchair users and older adults. Offering practical routing services to these users requires that pedestrian navigation systems provide further information on route geometry. Therefore, this article proposes a novel method for extracting and analyzing the geometry properties of the shortest pedestrian paths, with a focus on open geospatial data across four aspects: (a) similarity, (b) route curviness,

Place, publisher, year, edition, pages
MDPI AG, 2023
Keywords
open geospatial data, pedestrian navigation, alternative routing, route geometry, mobility impairment, wheelchair users
National Category
Infrastructure Engineering
Identifiers
urn:nbn:se:kth:diva-334338 (URN)10.3390/ijgi12070288 (DOI)001039487300001 ()2-s2.0-85166302269 (Scopus ID)
Note

QC 20230818

Available from: 2023-08-18 Created: 2023-08-18 Last updated: 2023-08-18Bibliographically 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
Hatzenbühler, J., Jenelius, E., Gidofalvi, G. & Cats, O. (2022). Multi-purpose vehicle assignment for combined passenger and freight transport. In: : . Paper presented at Transportation Research Board (TRB) 101st Annual Meeting.
Open this publication in new window or tab >>Multi-purpose vehicle assignment for combined passenger and freight transport
2022 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Recent advances in the development of modular transport vehicles allow deploying multi-purpose vehicles, which enable alternate transport of different demand types. In this study, we propose a novel variant of the pickup and delivery problem, the multi-purpose pickup and delivery problem, where multi-purpose vehicles are assigned to serve a multi-commodity flow. We solve a series of use case scenarios using an exact optimization algorithm and an adaptive large neighborhood search algorithm. We compare the performance of a multi-purpose vehicle fleet to a mixed fleet of single-purpose vehicles. Our findings suggest that total costs can be reduced by an average of 13% when multi-purpose vehicles are deployed, while at the same time reducing total vehicle trip duration and total distance travelled by on average 33% and 16%, respectively. The required fleet size can be reduced by 35% on average when operating multi-purpose vehicles. The results can be used by practitioners and policymakers to determine if the combined service of passenger and freight demand flows with multi-purpose vehicles in a given system will yield benefits compared to existing transport operations.

Keywords
Public transportation, Freight transportation, Multi-purpose vehicles, Heuristic optimization
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-333683 (URN)
Conference
Transportation Research Board (TRB) 101st Annual Meeting
Funder
Vinnova, 2020-00565Swedish National Infrastructure for Computing (SNIC)
Note

QC 20230809

Available from: 2023-08-09 Created: 2023-08-09 Last updated: 2023-08-09Bibliographically approved
Khan, M. A., Gidofalvi, G. & Jat, C. K. (2022). Smart Control and Feasibility Analysis of Shared Electric Vehicle Charging Robots. In: 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022: . Paper presented at 1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, Virtual/Arad, Romania, 20 May 2022 through 22 May 2022 (pp. 887-892). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Smart Control and Feasibility Analysis of Shared Electric Vehicle Charging Robots
2022 (English)In: 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 887-892Conference paper, Published paper (Refereed)
Abstract [en]

Electric Vehicles sales have grown at an exponential rate all over the world. However, this industry still faces many challenges with lack of charging infrastructure being the main problem. This study analyzes the feasibility of mobile electric vehicle charging robots being researched by industry and academia alike and proposes an intelligent control algorithm using deep reinforcement learning algorithms. The algorithm uses Deep Deterministic Policy Gradient based framework and uses an actor-critic and model-free algorithm on the deterministic policy gradient to operate over continuous action spaces. The charging solution is compared with existing conventional solutions using simulations. The results obtained from simulations show that a mobile autonomous charging station can provide many benefits. Apart from having a low upfront investment cost as compared to static chargers, a smart mobile charger also offers greater flexibility. The algorithm also performs better as compared to conventional algorithms like least laxity factor and can easily be adapted to recent trends like shared mobility and autonomous mobility to provide a better user experience.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022
Keywords
autonomous EV charging bots, DC fast charging, Deep deterministic policy gradient, EV charging, Botnet, Charging (batteries), Intelligent robots, Investments, Learning algorithms, Reinforcement learning, Autonomous EV charging bot, Control analysis, Deterministics, Electric vehicle charging, Policy gradient, Smart control, Deep learning
National Category
Robotics Vehicle Engineering
Identifiers
urn:nbn:se:kth:diva-331261 (URN)10.1109/GlobConET53749.2022.9872494 (DOI)2-s2.0-85138989113 (Scopus ID)
Conference
1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, Virtual/Arad, Romania, 20 May 2022 through 22 May 2022
Note

QC 20230706

Available from: 2023-07-06 Created: 2023-07-06 Last updated: 2023-07-06Bibliographically approved
Palmberg, R., Susilo, Y. O., Gidofalvi, G., Naqavi, F. & Nybacka, M. (2022). Towards a better understanding of the health impacts of one’s movement in space and time. Journal of Literature and Science, 1-24
Open this publication in new window or tab >>Towards a better understanding of the health impacts of one’s movement in space and time
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2022 (English)In: Journal of Literature and Science, E-ISSN 1754-646X, p. 1-24Article in journal (Refereed) Published
Abstract [en]

To better understand the interactions between physical built environment conditions and one’s well-being, we created a passive data collector for travellers and made the first step towards an explanatory model based on psychophysiological relations. By measuring biometric information from select trial participants we showed how different controlled factors are affecting the heart rate of the participants. A regression model with the impact factors such as speed, location, time and activity (accelerometer data) reveals how the factors relate to each other and how they correlate with the recorded individual’s heart rates throughout the observed period. For examples, the results show that the increase in movement speed is not linearly correlated with the heart rate. One’s heart rate would increase significantly when the individual reaches brisk walking and running speed, but not before nor after. Early morning and early evening time slots were the time where the observed individuals have the highest heart rates, which may correlate to individuals’ commute activities. Heart rates at the office would be lower than at home, which might correlate to more physical activities in the household. 

Place, publisher, year, edition, pages
Informa UK Limited, 2022
Keywords
Automated data collection, biometric data, built environment, position data, psychophysiological relations, Biometrics, Data acquisition, Regression analysis, Environment conditions, Health impact, Heart-rate, Psychophysiological relation, Space and time, Well being, Heart
National Category
Renewable Bioenergy Research Environmental Sciences related to Agriculture and Land-use Dentistry
Identifiers
urn:nbn:se:kth:diva-318406 (URN)10.1080/17489725.2021.2009051 (DOI)000738503100001 ()2-s2.0-85122308369 (Scopus ID)
Note

QC 20220921

Available from: 2022-09-21 Created: 2022-09-21 Last updated: 2023-10-05Bibliographically approved
Palmberg, R., Susilo, Y., Gidófalvi, G. & Naqavi, F. (2021). Built Environment Characteristics, Daily Travel, and Biometric Readings: Creation of an Experimental Tool Based on a Smartwatch Platform. Sustainability, 13(17), Article ID 9993.
Open this publication in new window or tab >>Built Environment Characteristics, Daily Travel, and Biometric Readings: Creation of an Experimental Tool Based on a Smartwatch Platform
2021 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 13, no 17, article id 9993Article in journal (Refereed) Published
Abstract [en]

Travel surveys can uncover information regarding travel behaviour, needs, and more. Collected information is utilised to make choices when reorganising or planning built environments. Over the years, methods for conducting travel surveys have changed from interviews and forms to automated travel diaries in order to monitor trips made by travellers. With the fast progression of technological advancements, new possibilities for operationalising such travel diaries can be implemented, changing from utilising mobile to wearable devices. Wearable devices are often equipped with sensors which collect continuous biometric data from sources that are not reachable from standard mobile devices. Data collected through wearable devices range from heart rate and blood pressure to temperature and perspiration. This advancement opens new possible layers of information in the collection of travel data. Such biometric data can be used to derive psychophysiological conditions related to cognitive load, which can uncover in-depth knowledge regarding stress and emotions. This paper aims to explore the possibilities of data analysis on the data collected through a software combining travel survey data, such as position and time, with heartrate, to gain knowledge of the implications of such data. The knowledge about the implications of spatial configurations can be used to create more accessible environments.

Place, publisher, year, edition, pages
Basel, Schweiz: MDPI, 2021
Keywords
built environment, position data, biometric data, automated data collection, urban planning, traveller needs, traveller behaviour
National Category
Transport Systems and Logistics Human Computer Interaction Interaction Technologies
Research subject
Transport Science, Transport Systems; Human-computer Interaction; Machine Design
Identifiers
urn:nbn:se:kth:diva-301790 (URN)10.3390/su13179993 (DOI)000694469300001 ()2-s2.0-85114641387 (Scopus ID)
Funder
EU, Horizon 2020, 769980
Note

QC 20211005

Available from: 2021-09-13 Created: 2021-09-13 Last updated: 2024-03-18Bibliographically approved
Pernestål, A., Engholm, A., Bemler, M. & Gidofalvi, G. (2021). How Will Digitalization Change Road Freight Transport?: Scenarios Tested in Sweden. Sustainability, 13(1), Article ID 304.
Open this publication in new window or tab >>How Will Digitalization Change Road Freight Transport?: Scenarios Tested in Sweden
2021 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 13, no 1, article id 304Article in journal (Refereed) Published
Abstract [en]

Road freight transport is a key function of modern societies. At the same time, road freight transport accounts for significant emissions. Digitalization, including automation, digitized information, and artificial intelligence, provide opportunities to improve efficiency, reduce costs, and increase service levels in road freight transport. Digitalization may also radically change the business ecosystem in the sector. In this paper, the question, "How will digitalization change the road freight transport landscape?" is addressed by developing four exploratory future scenarios, using Sweden as a case study. The results are based on input from 52 experts. For each of the four scenarios, the impacts on the road freight transport sector are investigated, and opportunities and barriers to achieving a sustainable transportation system in each of the scenarios are discussed. In all scenarios, an increase in vehicle kilometers traveled is predicted, and in three of the four scenarios, significant increases in recycling and urban freight flows are predicted. The scenario development process highlighted how there are important uncertainties in the development of the society that will be highly important for the development of the digitized freight transport landscape. One example is the sustainability paradigm, which was identified as a strategic uncertainty.

Place, publisher, year, edition, pages
MDPI, 2021
Keywords
freight transport, future scenarios, intuitive logic, logistics, digitalization
National Category
Business Administration
Identifiers
urn:nbn:se:kth:diva-289544 (URN)10.3390/su13010304 (DOI)000606433600001 ()2-s2.0-85099024538 (Scopus ID)
Note

QC 20210203

Available from: 2021-02-03 Created: 2021-02-03 Last updated: 2024-03-18Bibliographically approved
Hosseini, S., Baziyad, H., Norouzi, R., Jabbedari Khiabani, S., Gidofalvi, G., Albadvi, A., . . . Seyedabrishami, S. (2021). Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis. Scientometrics, 126(4), 2667-2688
Open this publication in new window or tab >>Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis
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2021 (English)In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 126, no 4, p. 2667-2688Article in journal (Refereed) Published
Abstract [en]

Using geographic information systems (GIS) widely for dealing with transportation problems (is well-known as GIS-T), has made it nessasary for researchers to discover the current state-of-the-art and predict the trends of future research. This paper aims to contribute to a better understanding of GIS-T research area from a longitudinal perspective, over the period 2008–2019. A co-word analysis was used to illustrate all the underlying subfields of GIS-T based on published papers in the Web of Science (WoS) database service. The main knowledge areas representing the intellectual structure of GIS-T including (a) sustainability, (b) health, (c) planning and management, and (d) methods and tools, were detected. Finally, in order to illustrate the structure and development of the identified clusters, two-dimensional maps and strategic diagrams for each period were drawn. This study is the first attempt to employ a text mining method so as to detect the conceptual structure of GIS-T research area from a complex and interdisciplinary literature.

Place, publisher, year, edition, pages
Springer Nature, 2021
Keywords
Co-occurrence network, Community detection, Dynamic co-word analysis, GIS-T, Research trends, Text mining
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:kth:diva-305842 (URN)10.1007/s11192-020-03840-8 (DOI)000619695300001 ()2-s2.0-85101254827 (Scopus ID)
Note

QC 20211215

Available from: 2021-12-15 Created: 2021-12-15 Last updated: 2022-06-25Bibliographically approved
Cumbane, S. P. & Gidofalvi, G. (2021). Spatial Distribution of Displaced Population Estimated Using Mobile Phone Data to Support Disaster Response Activities. ISPRS International Journal of Geo-Information, 10(6), 421, Article ID 421.
Open this publication in new window or tab >>Spatial Distribution of Displaced Population Estimated Using Mobile Phone Data to Support Disaster Response Activities
2021 (English)In: ISPRS International Journal of Geo-Information, ISSN 2220-9964, Vol. 10, no 6, p. 421-, article id 421Article in journal (Refereed) Published
Abstract [en]

Under normal circumstances, people's homes and work locations are given by their addresses, and this information is used to create a disaster management plan in which there are instructions to individuals on how to evacuate. However, when a disaster strikes, some shelters are destroyed, or in some cases, distance from affected areas to the closest shelter is not reasonable, or people have no possibility to act rationally as a natural response to physical danger, and hence, the evacuation plan is not followed. In each of these situations, people tend to find alternative places to stay, and the evacuees in shelters do not represent the total number of the displaced population. Knowing the spatial distribution of total displaced people (including people in shelters and other places) is very important for the success of the response activities which, among other measures, aims to provide for the basic humanitarian needs of affected people. Traditional methods of people displacement estimation are based on population surveys in the shelters. However, conducting a survey is infeasible to perform at scale and provides low coverage, i.e., can only cover the numbers for the population that are at the shelters, and the information cannot be delivered in a timely fashion. Therefore, in this research, anonymized mobile Call Detail Records (CDRs) are proposed as a source of information to infer the spatial distribution of the displaced population by analyzing the variation of home cell-tower for each anonymized mobile phone subscriber before and after a disaster. The effectiveness of the proposed method is evaluated using remote-sensing-based building damage assessment data and Displacement Tracking Matrix (DTM) from an individual's questionnaire survey conducted after a severe cyclone in Beira city, central Mozambique, in March 2019. The results show an encouraging correlation coefficient (over 70%) between the number of arrivals in each neighborhood estimated using CDRs and from DTM. In addition to this, CDRs derive spatial distribution of displaced populations with high coverage of people, i.e., including not only people in the shelter but everyone who used a mobile phone before and after the disaster. Moreover, results suggest that if CDRs data are available right after a disaster, population displacement can be estimated, and this information can be used for response activities and hence contribute to reducing waterborne diseases (e.g., diarrheal disease) and diseases associated with crowding (e.g., acute respiratory infections) in shelters and host communities.

Place, publisher, year, edition, pages
MDPI AG, 2021
Keywords
disaster response, mobile Call Detail Records (CDRs), displaced population
National Category
Human Geography
Identifiers
urn:nbn:se:kth:diva-299049 (URN)10.3390/ijgi10060421 (DOI)000666988800001 ()2-s2.0-85109906266 (Scopus ID)
Note

QC 20210730

Available from: 2021-07-30 Created: 2021-07-30 Last updated: 2022-06-25Bibliographically approved
Joubert, J. W., Trenta, N. M., Gidofalvi, G. & Kordnejad, B. (2020). A matching algorithm to study the evolution of logistics facilities extracted from GPS traces. Paper presented at The 11th International Conference on City Logistics, Dubrovnik, Croatia, 12th - 14th June 2019. Transportation Research Procedia, 46(2020), 237-244
Open this publication in new window or tab >>A matching algorithm to study the evolution of logistics facilities extracted from GPS traces
2020 (English)In: Transportation Research Procedia, E-ISSN 2352-1465, Vol. 46, no 2020, p. 237-244Article in journal (Refereed) Published
Abstract [en]

The ubiquity of anonymous GPS data has opened the door to a promising data source in the field of city logistics modelling. From this data the locations of logistics facilities can be extracted and their evolution studied over time. The minimum edge coverproblem, weighted by the Hausdorff distance, is used as a basis for a matching algorithm to study the location of facilities acrosslongitudinal datasets. The efficacy and validity of the algorithm is assessed through the visual inspection of results in three urbanareas across five time instances. Prevalent errors are unpacked and algorithm modifications suggested. This paper makes amethodological contribution to the handling of GPS data for the purpose of city logistics modelling.

Place, publisher, year, edition, pages
Elsevier BV, 2020
Keywords
GPS data; cluster evolution; logistics facilities; Hausdorff distance; minimum weight edge cover; concave hull clustering
National Category
Transport Systems and Logistics Computer Sciences
Research subject
Transport Science; Computer Science; Geodesy and Geoinformatics, Geoinformatics
Identifiers
urn:nbn:se:kth:diva-272405 (URN)10.1016/j.trpro.2020.03.186 (DOI)2-s2.0-85084638589 (Scopus ID)
Conference
The 11th International Conference on City Logistics, Dubrovnik, Croatia, 12th - 14th June 2019
Note

QC 20200624

Available from: 2020-04-21 Created: 2020-04-21 Last updated: 2022-06-26Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1164-8403

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