TY - JOUR AU - Fazekas, Zoltán AU - Obaid, Mohammed AU - Gáspár, Péter TI - Choosing Routes in Urban Areas that are Robust Against Minor Nonrecurring Traffic Incidents JF - PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING J2 - PERIOD POLYTECH TRANSP ENG VL - 52 PY - 2024 IS - 2 SP - 173 EP - 180 PG - 8 SN - 0303-7800 DO - 10.3311/PPtr.23792 UR - https://m2.mtmt.hu/api/publication/34687431 ID - 34687431 N1 - Export Date: 22 March 2024 CODEN: PPTED Correspondence Address: Fazekas, Z.; Institute for Computer Science and Control (HUN-REN SZTAKI), Kende u. 13–17., Hungary; email: fazekas.zoltan@sztaki.hun-ren.hu AB - The paper looks at certain vehicle-level re-routing issues within urban road networks, and related network-level traffic management issues. These arise mostly when the traffic along a route of significance is hindered, slowed down, or even blocked because of some – possibly minor – unexpected, nonrecurring traffic incident at a sensitive road location, or road section. Considerations for planning routes in urban areas – routes that are in some sense robust against such incidents – are presented herein. Also, the on–the–spot detection of traffic queues by an ego-vehicle – relying on data streams from on-board visual line-of-sight (LoS) exteroceptive sensors watching, scanning and monitoring the ego-vehicle's road environment, and by some on-board dedicated real-time detection systems processing and analyzing the incoming data streams – is touched upon. However, this traffic congestion avoidance and mitigating approach – effectuated either by individual autonomous vehicles, or by human drivers – presumes availability of alternative routes, which is not the case for a good portion of the route considered. A route planning approach that could be used for routes with such critical sections is proposed and motivated through an example of an urban route of significance. LA - English DB - MTMT ER - TY - JOUR AU - Fazekas, Zoltán AU - Obaid, Mohammed AU - Karim, L AU - Gáspár, Péter TI - Urban Traffic Congestion Alleviation Relying on the Vehicles’ On-board Traffic Congestion Detection Capabilities JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 21 PY - 2024 IS - 6 SP - 7 EP - 31 PG - 25 SN - 1785-8860 DO - 10.12700/APH.21.6.2024.6.1 UR - https://m2.mtmt.hu/api/publication/34588733 ID - 34588733 N1 - Funding Agency and Grant Number: European Union within the framework of the National Laboratory for Autonomous Systems [RRF-2.3.1-21-2022-00002]; NRDI Office, Budapest, Hungary; [2018-2.1.10-TETMC-2018-00009] Funding text: This research was supported by the European Union within the framework of the National Laboratory for Autonomous Systems (grant: RRF-2.3.1-21-2022-00002) . It was also supported by the NRDI Office, Budapest, Hungary (grant: 2018-2.1.10-TETMC-2018-00009) . LA - English DB - MTMT ER - TY - CHAP AU - Fazekas, Zoltán AU - Obaid, Mohammed AU - Boulmakoul, A AU - Karim, L AU - Gáspár, Péter ED - Boulmakoul, A ED - Karim, L ED - Bhushan, B TI - Utility Assessment of Line-of-Sight Traffic Jam and Queue Detection in Urban Environments for Intelligent Road Vehicles T2 - Smart Trajectories PB - CRC Press - Taylor and Francis Group CY - Boca Raton, Florida SN - 9781003255635 PY - 2022 SP - 207 EP - 228 PG - 22 DO - 10.1201/9781003255635-13 UR - https://m2.mtmt.hu/api/publication/33364963 ID - 33364963 LA - English DB - MTMT ER - TY - CHAP AU - Cherradi, G AU - Boulmakoul, A AU - Karim, L AU - Fazekas, Zoltán AU - Gáspár, Péter ED - Boulmakoul, A ED - Karim, L ED - Bhushan, B TI - Risky Trajectory Prediction for Safe Walkability under an Intuitionistic Fuzzy Environment T2 - Smart Trajectories PB - CRC Press - Taylor and Francis Group CY - Boca Raton, Florida SN - 9781003255635 PY - 2022 SP - 229 EP - 242 PG - 14 DO - 10.1201/9781003255635-14 UR - https://m2.mtmt.hu/api/publication/33364851 ID - 33364851 LA - English DB - MTMT ER - TY - JOUR AU - Fazekas, Zoltán AU - Balázs, G AU - Gyulai, Cs AU - Potyondi, P AU - Gáspár, Péter TI - Road-Type Detection Based on Traffic Sign and Lane Data JF - JOURNAL OF ADVANCED TRANSPORTATION J2 - J ADV TRANSPORT VL - 2022 PY - 2022 PG - 19 SN - 0197-6729 DO - 10.1155/2022/6766455 UR - https://m2.mtmt.hu/api/publication/32838025 ID - 32838025 N1 - Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), Kende u. 13-17, Budapest, H-1111, Hungary Zukunft Mobility GmbH, Marie-Curie-Straße 5/5a, Ingolstadt, D-85055, Germany Robert Bosch Ltd., 104, Gyömrői út, Budapest, H-1103, Hungary Export Date: 17 November 2022 CODEN: JATRD Correspondence Address: Fazekas, Z.; Institute for Computer Science and Control (SZTAKI), Kende u. 13-17, Hungary; email: zoltan.fazekas@sztaki.hu LA - English DB - MTMT ER - TY - JOUR AU - Sziová, Brigita AU - Nagy, Szilvia AU - Fazekas, Zoltán TI - Application of Structural Entropy and Spatial Filling Factor in Colonoscopy Image Classification JF - ENTROPY J2 - ENTROPY-SWITZ VL - 23 PY - 2021 IS - 8 PG - 30 SN - 1099-4300 DO - 10.3390/e23080936 UR - https://m2.mtmt.hu/api/publication/32112643 ID - 32112643 N1 - Cited By :2 Export Date: 5 September 2022 Correspondence Address: Sziová, B.; Department of Computer Science, Egyetem tér 1, Hungary; email: szi.brigitta@sze.hu LA - English DB - MTMT ER - TY - JOUR AU - Fazekas, Zoltán AU - Gerencsér, László AU - Gáspár, Péter TI - Detecting Change between Urban Road Environments along a Route Based on Static Road Object Occurrences JF - APPLIED SCIENCES-BASEL J2 - APPL SCI-BASEL VL - 11 PY - 2021 IS - 8 PG - 18 SN - 2076-3417 DO - 10.3390/app11083666 UR - https://m2.mtmt.hu/api/publication/31970547 ID - 31970547 N1 - Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), 13-17. Kende Utca, Budapest, H-1111, Hungary Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics (BME), 2 Stoczek Utca, Budapest, H-1111, Hungary Export Date: 14 June 2021 Correspondence Address: Fazekas, Z.; Institute for Computer Science and Control (SZTAKI), 13-17. Kende Utca, Hungary; email: zoltan.fazekas@sztaki.hu Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), 13-17. Kende Utca, Budapest, H-1111, Hungary Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics (BME), 2 Stoczek Utca, Budapest, H-1111, Hungary Export Date: 5 August 2021 Correspondence Address: Fazekas, Z.; Institute for Computer Science and Control (SZTAKI), 13-17. Kende Utca, Hungary; email: zoltan.fazekas@sztaki.hu Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), 13-17. Kende Utca, Budapest, H-1111, Hungary Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics (BME), 2 Stoczek Utca, Budapest, H-1111, Hungary Export Date: 23 September 2021 Correspondence Address: Fazekas, Z.; Institute for Computer Science and Control (SZTAKI), 13-17. Kende Utca, Hungary; email: zoltan.fazekas@sztaki.hu Funding text 1: Funding: The research was supported by the Ministry of Innovation and Technology NRDI Office within the framework of the Autonomous Systems National Laboratory Program. LA - English DB - MTMT ER - TY - JOUR AU - Boulmakoul, A AU - Fazekas, Zoltán AU - Karim, L AU - Cherradi, G AU - Gáspár, Péter TI - Using Formal Concept Analysis Tools in Road Environment-Type Detection JF - ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING J2 - ADV INT SYST COMPUT VL - 1197 PY - 2021 SP - 1059 EP - 1067 PG - 9 SN - 2194-5357 DO - 10.1007/978-3-030-51156-2_123 UR - https://m2.mtmt.hu/api/publication/31378553 ID - 31378553 LA - English DB - MTMT ER - TY - JOUR AU - Boulmakoul, A AU - Fazekas, Zoltán AU - Karim, L AU - Gáspár, Péter AU - Cherradi, G TI - Fuzzy similarities for road environment-type detection by a connected vehicle from traffic sign probabilistic data JF - PROCEDIA COMPUTER SCIENCE J2 - PROC COMPUTER SCI VL - 170 PY - 2020 SP - 59 EP - 66 PG - 8 SN - 1877-0509 DO - 10.1016/j.procs.2020.03.139 UR - https://m2.mtmt.hu/api/publication/31289947 ID - 31289947 LA - English DB - MTMT ER - TY - CHAP AU - Fazekas, Zoltán AU - Balázs, G AU - Boulmakoul, A AU - Gáspár, Péter ED - Angoda, R TI - Visualization of Traffic Sign Related Rules Used in Road Environment-type Detection T2 - MOSATT 2019 PB - IEEE CY - Piscataway (NJ) SN - 9781728150826 PY - 2019 SP - 53 EP - 57 PG - 5 DO - 10.1109/MOSATT48908.2019.8944116 UR - https://m2.mtmt.hu/api/publication/30944215 ID - 30944215 N1 - Institute for Computer Science and Control (SZTAKI), Budapest, Hungary Zukunft Mobility GmbH, Kösching, Germany Computer Science Department, Faculty of Sciences and Technologies of Mohammedia, Hassan II Casablanca University, Morocco Conference code: 156490 Export Date: 14 January 2021 AB - A heuristic rule-based approach was proposed in a recent paper for the detection of the urban road environment-type (RET), such as downtown, residential area, and business/industrial area, that characterizes the road environment around an ego-car. The RET detection approach takes into account the relevant traffic signs (TSs) that are visible from the ego-car. It is assumed that the TS data, namely the type and the location of each detected TS along the route, is made available for the purpose by an on-board TS recognition system. The continually updated TS data is aggregated and evaluated in a multi-scale manner by the RET detection system. In the present paper, the heuristic rules employed within the mentioned system - that handle the competition situations arising between the RET-candidates selected for and representing the various distance-scales are visualized in a vividly descriptive manner. The visualization of the rules makes the decision process easier to understand, furthermore, it facilitates the re-use, the adaptation and the extension of the rule-set for other road-related applications that rely on TS and possibly on other road-related data. A summary of the RET detection results from the mentioned paper is included herein to make the paper self-contained. LA - English DB - MTMT ER -