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Dahl, Mattias
Publications (10 of 87) Show all publications
Dahl, M. & Javadi, M. S. (2020). Analytical Modeling for a Video-Based Vehicle Speed Measurement Framework. Sensors, 20(1), Article ID 160.
Open this publication in new window or tab >>Analytical Modeling for a Video-Based Vehicle Speed Measurement Framework
2020 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 20, no 1, article id 160Article in journal (Refereed) Published
Abstract [en]

 Traffic analyses, particularly speed measurements, are highly valuable in terms of road safety and traffic management. In this paper, an analytical model is presented to measure the speed of a moving vehicle using an off-the-shelf video camera. The method utilizes the temporal sampling rate of the camera and several intrusion lines in order to estimate the probability density function (PDF) of a vehicle’s speed. The proposed model provides not only an accurate estimate of the speed, but also the possibility of being able to study the performance boundaries with respect to the camera framerate as well as the placement and number of intrusion lines in advance. This analytical modelis verified by comparing its PDF outputs with the results obtained via a simulation of the corresponding movements. In addition,as aproof-of-concept, the proposed model is implemented for avideo-based vehicle speed measurement system. The experimental results demonstrate the model’s capability in terms of taking accurate measurements of the speed via a consideration of the temporal sampling rate and lowering the deviation by utilizing more intrusion lines. The analytical model is highly versatile and can be used as the core of various video-based speed measurement systems in transportation and surveillance applications.

Keywords
vehicle speed measurement; temporal sampling; analytical modeling; motion analysis; pattern recognition; image processing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17160 (URN)10.3390/s20010160 (DOI)000510493100160 ()2-s2.0-85077333600 (Scopus ID)
Note

open access

Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2020-02-20Bibliographically approved
Pettersson, M., Dahl, M., Vu, V. T. & Javadi, M. S. (2019). Future Satellite and Drone Monitoring of the Baltic‐Adriatic Corridor,Harbors, and Motorways of the Sea.
Open this publication in new window or tab >>Future Satellite and Drone Monitoring of the Baltic‐Adriatic Corridor,Harbors, and Motorways of the Sea
2019 (English)Report (Other academic)
Publisher
p. 50
National Category
Engineering and Technology
Identifiers
urn:nbn:se:bth-18575 (URN)
Projects
Tentacle
Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2019-09-06Bibliographically approved
Fredriksson, H., Dahl, M. & Holmgren, J. (2019). Optimal placement of charging stations for electric vehicles in large-scale transportation networks. In: Procedia Computer Science: . Paper presented at 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2019 and 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2019, Affiliated Workshops; Coimbra; Portugal; 4 November (pp. 77-84). Elsevier B.V., 160
Open this publication in new window or tab >>Optimal placement of charging stations for electric vehicles in large-scale transportation networks
2019 (English)In: Procedia Computer Science, Elsevier B.V. , 2019, Vol. 160, p. 77-84Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a new practical approach to optimally allocate charging stations in large-scale transportation networks for electric vehicles (EVs). The problem is of particular importance to meet the charging demand of the growing fleet of alternative fuel vehicles. Considering the limited driving range of EVs, there is need to supply EV owners with accessible charging stations to reduce their range anxiety. The aim of the Route Node Coverage (RNC) problem, which is considered in the current paper, is to find the minimum number of charging stations, and their locations in order to cover the most probable routes in a transportation network. We propose an iterative approximation technique for RNC, where the associated Integer Problem (IP) is solved by exploiting a probabilistic random walk route selection, and thereby taking advantage of the numerical stability and efficiency of the standard IP software packages. Furthermore, our iterative RNC optimization procedure is both pertinent and straightforward to implement in computer coding and the design technique is therefore highly applicable. The proposed optimization technique is applied on the Sioux-Falls test transportation network, and in a large-scale case study covering the southern part of Sweden, where the focus is on reaching the maximum coverage with a minimum number of charging stations. The results are promising and show that the flexibility, smart route selection, and numerical efficiency of the proposed design technique, can pick out strategic locations for charging stations from thousands of possible locations w ithout numerical difficulties. ©2019 Hie Authors. Published by Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier B.V., 2019
Keywords
Charging stations, Clectric vehicle, Optimal placement, Route node coverage, Transportation network, Charging (batteries), Data communication systems, Efficiency, Electric vehicles, Fleet operations, Health care, Internet protocols, Iterative methods, Location, Alternative fuel vehicles, Charging station, Iterative approximations, Large-scale transportation, Node coverage, Optimal placements, Optimization techniques, Transportation routes
National Category
Transport Systems and Logistics Energy Systems
Identifiers
urn:nbn:se:bth-19238 (URN)10.1016/j.procs.2019.09.446 (DOI)2-s2.0-85079099240 (Scopus ID)
Conference
10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2019 and 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2019, Affiliated Workshops; Coimbra; Portugal; 4 November
Note

open access

Available from: 2020-02-20 Created: 2020-02-20 Last updated: 2020-02-20
Javadi, M. S., Dahl, M. & Pettersson, M. (2019). Vehicle speed measurement model for video-based systems. Computers & electrical engineering, 76, 238-248
Open this publication in new window or tab >>Vehicle speed measurement model for video-based systems
2019 (English)In: Computers & electrical engineering, ISSN 0045-7906, E-ISSN 1879-0755, Vol. 76, p. 238-248Article in journal (Refereed) Published
Abstract [en]

Advanced analysis of road traffic data is an essential component of today's intelligent transportation systems. This paper presents a video-based vehicle speed measurement system based on a proposed mathematical model using a movement pattern vector as an input variable. The system uses the intrusion line technique to measure the movement pattern vector with low computational complexity. Further, the mathematical model introduced to generate the pdf (probability density function) of a vehicle's speed that improves the speed estimate. As a result, the presented model provides a reliable framework with which to optically measure the speeds of passing vehicles with high accuracy. As a proof of concept, the proposed method was tested on a busy highway under realistic circumstances. The results were validated by a GPS (Global Positioning System)-equipped car and the traffic regulations at the measurement site. The experimental results are promising, with an average error of 1.77 % in challenging scenarios.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Intelligent transportation systems; Machine vision; Motion analysis; Pattern recognition; Speed measurement system
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17161 (URN)10.1016/j.compeleceng.2019.04.001 (DOI)000470954900019 ()
Note

open access

Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2019-06-27Bibliographically approved
Rameez, M., Dahl, M. & Pettersson, M. (2018). Adaptive digital beamforming for interference suppression in automotive FMCW radars. In: 2018 IEEE Radar Conference, (RadarConf 2018): . Paper presented at 2018 IEEE Radar Conference,Oklahoma City (pp. 252-256). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Adaptive digital beamforming for interference suppression in automotive FMCW radars
2018 (English)In: 2018 IEEE Radar Conference, (RadarConf 2018), Institute of Electrical and Electronics Engineers Inc. , 2018, p. 252-256Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of mutual interference between automotive radars. This problem is getting more attention with an increase in the number of radar systems used in traffic. An adaptive digital beamforming technique is presented here which suppresses the interference without the exact knowledge of the interfering signal's Direction of Arrival (DoA). The proposed technique is robust and does not rely on any calibration for the interference cancellation. The adaptive interference suppression method is evaluated using a simulated scenario. Up to about 20-23 dB improvement in the target Signal to Interference and Noise Ratio (SINR) is measured in the simulation and a better detection performance is achieved using the proposed interference suppression technique. © 2018 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Series
IEEE Radar Conference
Keywords
Beamforming, Frequency modulation, Radar systems, Signal to noise ratio, Adaptive digital beamforming, Adaptive interference suppression, Automotive radar, Detection performance, Interference cancellation, Interfering signals, Mutual interference, Target signals, Radar interference
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-16910 (URN)10.1109/RADAR.2018.8378566 (DOI)000442172700046 ()2-s2.0-85049977586 (Scopus ID)978-1-5386-4167-5 (ISBN)
Conference
2018 IEEE Radar Conference,Oklahoma City
Available from: 2018-08-20 Created: 2018-08-20 Last updated: 2018-09-20Bibliographically approved
Javadi, M. S., Dahl, M., Pettersson, M. & Kulesza, W. (2018). Design of a video-based vehicle speed measurement system: an uncertainty approach. In: 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 2018, pp. 44-49.: . Paper presented at Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018; Kitakyushu; Japan; 25-28 June 2018. IEEE, Article ID 8640964.
Open this publication in new window or tab >>Design of a video-based vehicle speed measurement system: an uncertainty approach
2018 (English)In: 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 2018, pp. 44-49., IEEE, 2018, article id 8640964Conference paper, Published paper (Refereed)
Abstract [en]

Speed measurement is one of the key components of intelligent transportation systems. It provides suitable information for traffic management and law enforcement. This paper presents a versatile and analytical model for a video-based speed measurement in form of the probability density function (PDF). In the proposed model, the main factors contributing to the uncertainties of the measurement are considered. Furthermore, a guideline is introduced in order to design a video-based speed measurement system based on the traffic and other requirements. As a proof of concept, the model has been simulated and tested for various speeds. An evaluation validates the strength of the model for accurate speed measurement under realistic circumstances.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Intelligent transportation systems, Machine vision, Motion analysis, Pattern recognition, Speed measurement
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17163 (URN)10.1109/ICIEV.2018.8640964 (DOI)000462610300008 ()9781538651612 (ISBN)
Conference
Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018; Kitakyushu; Japan; 25-28 June 2018
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2020-01-24Bibliographically approved
Javadi, M. S., Rameez, M., Dahl, M. & Pettersson, M. (2018). Vehicle classification based on multiple fuzzy c-means clustering using dimensions and speed features. In: Procedia Computer Science: . Paper presented at 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), Belgrade (pp. 1344-1350). Elsevier, 126
Open this publication in new window or tab >>Vehicle classification based on multiple fuzzy c-means clustering using dimensions and speed features
2018 (English)In: Procedia Computer Science, Elsevier, 2018, Vol. 126, p. 7p. 1344-1350Conference paper, Published paper (Refereed)
Abstract [en]

Vehicle classification has a significant use in traffic surveillance and management. There are many methods proposed to accomplish this task using variety of sensorS. In this paper, a method based on fuzzy c-means (FCM) clustering is introduced that uses dimensions and speed features of each vehicle. This method exploits the distinction in dimensions features and traffic regulations for each class of vehicles by using multiple FCM clusterings and initializing the partition matrices of the respective classifierS. The experimental results demonstrate that the proposed approach is successful in clustering vehicles from different classes with similar appearanceS. In addition, it is fast and efficient for big data analysiS.

Place, publisher, year, edition, pages
Elsevier, 2018. p. 7
Series
Procedia Computer Science, ISSN 1877-0509
Keywords
Vehicle classification, Fuzzy c-means clustering, Intelligent transportation systems, Pattern recognition
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17165 (URN)10.1016/j.procS.2018.08.085 (DOI)
Conference
22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), Belgrade
Note

open access

Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2018-11-29Bibliographically approved
Hjälmdahl, M., Clemedthson, P.-O., Dahl, M., Fastén, G., Mbiydzenyuy, G., Pettersson, M. & Sundberg, J. (2017). Effektutvärdering av kilometerskatt: Slutrapport. Slutsats och rekommendation.
Open this publication in new window or tab >>Effektutvärdering av kilometerskatt: Slutrapport. Slutsats och rekommendation
Show others...
2017 (Swedish)Report (Other academic)
Abstract [sv]

Urinsikten om behovet av brukaravgifter inom transportsektornföddes idén att skapa en arena för den samlade kompetenseni Sverige. Detta blev ARENA-projektet, vars första fas,2006-2008,hade som mål attutveckla ett koncept för ett vägavgiftssystem för lastbilar.Den andra fasen avslutades2011 med syftet att verifiera det utvecklade vägavgiftskonceptet genom praktiska demonstrationer. Projektet lade även grunden för en innovationsmiljö inom ITS, som är knuten till NetPort Science Park och Blekinge Tekniska Högskola.I den tredje fasen breddades anslaget till att stödja utveckl-ingen av samverkan och interoperabilitet mellan olika system för exempelvis trängselskatt, infra-strukturavgifter eller kilometerskatt, såväl i Sverige som internationellt.Från 2015 har ARENA övergått till att vara en långsiktig nationell kunskapsplattform för brukaravgif-ter inom transportsektorn. Inom ARENA drivs olika projekt beroende på de problemställningar som är aktuella i samhället. Ett av dessa handlar om att utveckla metodik för effektutvärdering av kilome-terskatt för tunga fordonDetta projekt har löpt parallellt med Vägslitageskattekommitténarbete och som ARENAsamverkat medoch stöttat.Arbetet inom ARENA fokuserarpå attutreda vilka effekterav en kilometerskatt som är troliga/möj-liga och vilka av dessa som i sin tur är möjliga att observeraoch hur de kan observeras. Detta har gjorts genom bl.a. inventeringar av andra liknande initiativ och hur de har utvärderats, litteraturge-nomgångar och workshops. Rapporter från detta arbete återfinns på projektets hemsida (http://www.arena-ruc.se/). Denna avslutande rapport fokuserar framförallt på övergripande slutsat-ser baserat på arbetet inom ARENA,samt de rekommendationer om datainsamling och utvärdering som projekt-och styrgruppen för ARENA anser är relevanta att nu gå vidare med, baserat på att ett beslut om införande av kilometerskatt inte har tagits och det är oklart huruvida beslut kommer att tas inom de närmaste åren. ARENA anser, med utgångspunkt i ovanstående, att en systematisk föremätning(ex-ante)bör ge-nomföras först när beslut om att införa skatten har tagits och det finns detaljerad information om hur skatten är utformad.ARENA anser dock att kunskapsnivån om godstransporter på väg generellt sett är bristfällig varför det är motiverat att inleda datafångst inom vissa utpekade områden för att stärka kunskapen. Den data som bör samlas in är värdefull också i samband med utvärdering av ef-fekterna av t.ex. förändrade cabotageregler, ändrade gränser för lastbilars mått och vikt, ändrad energi-och koldioxidbeskattning etc.Det pågår idag flera nationella initiativ kring förbättrat kunskapsunderlag om yrkestrafiken och gods-transporter på väg. ARENAs rekommendationer ligger i linje med dessa och arbetet kring att öka kun-skapsnivån bör fortgå.

Publisher
p. 32
Series
ARENA RAPPORT 2017:05
National Category
Engineering and Technology
Identifiers
urn:nbn:se:bth-19122 (URN)
Funder
Swedish Transport Administration
Available from: 2020-01-22 Created: 2020-01-22 Last updated: 2020-01-28Bibliographically approved
Vu, V. T., Sjögren, T., Pettersson, M. & Dahl, M. (2017). Measurement of traffic flows with SAR: Field test on the swedish road network. In: International Geoscience and Remote Sensing Symposium (IGARSS): . Paper presented at 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS,Forth Worth (pp. 3321-3324). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Measurement of traffic flows with SAR: Field test on the swedish road network
2017 (English)In: International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc. , 2017, p. 3321-3324Conference paper, Published paper (Refereed)
Abstract [en]

This paper reports the measurement campaign Blekingetraffic that was performed by Blekinge Institute of Technology with collaboration with the partners. The measurements are part of a case study to evaluate the feasibility of spaceborne SAR for measuring traffic flow change before and after toll charge introduced in Sweden. The radar measurements were conducted around Pukavik, western of Karlshamn, Sweden in the end of 2015 and in the beginning of 2016. In this paper, the results of one of the controlled measurements performed in the first week of February 2016 is presented. In the ground scene, some trucks tracked with GPS were deployed in European route E22 and local roads. The trucks have either cabinets or food tankers resulting in different radar cross sections. The data acquisition is with TanDEM-X using two satellites giving up to 6 data channels. Since the measurements were performed at 5:00 pm there were unknown traffic i.e. trucks and cars that were not controlled. Therefore, the traffic on the roads was recorded by cameras next to the road and on a drone. The initial analysis of the measured data shows the possibilities to apply available processing techniques such as ground moving target indication and change detection to obtain the knowledge of traffic flow change. © 2017 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2017
Series
IEEE International Symposium on Geoscience and Remote Sensing IGARSS, ISSN 000426954603103
Keywords
change detection, SAR, STAP, TanDEM-X, TerraSAR-X, traffic monitoring
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-15924 (URN)10.1109/IGARSS.2017.8127708 (DOI)000426954603103 ()2-s2.0-85041860005 (Scopus ID)9781509049516 (ISBN)
Conference
37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS,Forth Worth
Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2018-04-12Bibliographically approved
Dahl, M. & Pettersson, M. (2017). Verifiering av mätmetoder, Yttäckande mätningar med SAR.
Open this publication in new window or tab >>Verifiering av mätmetoder, Yttäckande mätningar med SAR
2017 (Swedish)Report (Other academic)
Abstract [sv]

Inom ARENA, den svenska kunskapsplattformen för vägavgifter,har vi tidigare föreslagit satellitbase-rad Syntetisk Apertur Radar (SAR) för att göra effektutvärderingsmätningar av lastbilstrafik över stora områden av Sverige. Denna nya mätmetod är mycket lovande och syftet med detta delprojekt har varit att studera hur ett urval avmätområden kan ske om man avser att genomföra trafikmätningar ur ett effektutvärderingsperspektiv. Som utgångspunkt för rapporten används resultatetfrån de mätningar som inom ramen för ARENA tidigarehar genomförts och avrapporterats, det vill sägaenserie avmätning över södra Sverige där satellitsystemetTerraSAR-X användes för att mäta trafik. Motiveringen till att använda ett satellitsy-stemmed SAR är kostnadseffektivitetenoch förmåganatt mäta trafik på samma sättöver hela Sve-rige och dessutomunder allaåretsdagaroavsett väderlek. Beräkningarna för var man skall eller bör mäta baserar sig på underlag från Nationell vägdata-bas(NVDB) som ärTrafikverketsdatabas över vägnätet i Sverige. Detta underlagi form av trafikflö-denhar i sin tur fått utgöra ett underlag tillhur satellitmätningar kan skei olika landsändar det vill sägaförmågan att observeralastbilstrafiki de aktuella områdena.Avsikten med en mätning av detta slag är att den härledda informationen ska levereras till slutanvän-darevars syfte är att utvärdera effekterna av en Vägslitageskatt. Idenna rapport presenteras kartor ur vilka intressanta områden ur olika aspekter kan väljas ur och inte minst var man i sådant fall skall eller bör mäta.Rapporten avslutas med ett mer teoretiskt resonemang kring hur effektiva skatt-ningar av medeltrafikur ett satellitperspektiv skulle kunna betraktas ochi någon meninghur mät-ningar och den efterföljande statistiska databehandlingendärigenomblir så effektiv som möjligt.

Publisher
p. 22
Series
ARENA RAPPORT 2017:01
National Category
Engineering and Technology
Identifiers
urn:nbn:se:bth-19120 (URN)
Available from: 2020-01-22 Created: 2020-01-22 Last updated: 2020-01-28Bibliographically approved
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