{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T09:50:03Z","timestamp":1766137803633,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T00:00:00Z","timestamp":1633996800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>There are multifarious stationary vehicles in urban driving environments. Autonomous vehicles need to make appropriate overtaking maneuver decisions to navigate through the stationary vehicles. In literature, overtaking maneuver decision problems have been addressed in the perspective of either discretionary lane-change or parked vehicle classification. While the former approaches are prone to generating undesired overtaking maneuvers in urban traffic scenarios, the latter approaches induce deadlock situations behind a stationary vehicle which is not distinctly classified as a parked vehicle. To overcome the limitations, we analyzed the significant decision factors in the traffic scenes and designed a Deep Neural Network (DNN) model to make human-like overtaking maneuver decisions. The significant traffic-related and intention-related decision factors were harmoniously extracted in the traffic scene interpretation process and were utilized as the inputs of the model to generate overtaking maneuver decisions in the same manner with the human driver. The overall validation results convinced that the extracted decision factors contributed to increasing the learning performance of the model, and consequently, the proposed decision-making system enabled the autonomous vehicles to generate more human-like overtaking maneuver decisions in various urban traffic scenarios.<\/jats:p>","DOI":"10.3390\/s21206768","type":"journal-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T06:38:41Z","timestamp":1634107121000},"page":"6768","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Human-like Decision-Making System for Overtaking Stationary Vehicles Based on Traffic Scene Interpretation"],"prefix":"10.3390","volume":"21","author":[{"given":"Jinsoo","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Automotive Engineering, Hanyang University, Seoul 04763, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8278-5742","authenticated-orcid":false,"given":"Seongjin","family":"Lee","sequence":"additional","affiliation":[{"name":"ACELAB, 13, Eonju-ro 81-gil, Gangnam-gu, Seoul 06222, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wontaek","family":"Lim","sequence":"additional","affiliation":[{"name":"ACELAB, 13, Eonju-ro 81-gil, Gangnam-gu, Seoul 06222, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myoungho","family":"Sunwoo","sequence":"additional","affiliation":[{"name":"Department of Automotive Convergence, College of Engineering, Korea University, Seoul 02841, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Hubmann, C., Becker, M., Althoff, D., Lenz, D., and Stiller, C. (2017, January 11\u201314). Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles. Proceedings of the 2017 IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, USA.","DOI":"10.1109\/IVS.2017.7995949"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Brechtel, S., Gindele, T., and Dillmann, R. (2014, January 8\u201311). Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs. Proceedings of the 17th international IEEE conference on intelligent transportation systems (ITSC), Qingdao, China.","DOI":"10.1109\/ITSC.2014.6957722"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/MITS.2016.2565718","article-title":"If, when, and how to perform lane change maneuvers on highways","volume":"8","author":"Nilsson","year":"2016","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Men\u00e9ndez-Romero, C., Winkler, F., Dornhege, C., and Burgard, W. (2017, January 11\u201314). Maneuver planning for highly automated vehicles. Proceedings of the 2017 IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, USA.","DOI":"10.1109\/IVS.2017.7995915"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"45","DOI":"10.3141\/2124-05","article-title":"Modeling acceleration decisions for freeway merges","volume":"2124","author":"Choudhury","year":"2009","journal-title":"Transp. Res. Rec."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"120","DOI":"10.3141\/2559-14","article-title":"Bionic lane driving of autonomous vehicles in complex urban environments: Decision-making analysis","volume":"2559","author":"Chen","year":"2016","journal-title":"Transp. Res. Rec."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Ulbrich, S., and Maurer, M. (2015, January 15\u201318). Towards tactical lane change behavior planning for automated vehicles. Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems, Gran Canaria, Spain.","DOI":"10.1109\/ITSC.2015.165"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Cunningham, A.G., Galceran, E., Eustice, R.M., and Olson, E. (2015, January 26\u201330). MPDM: Multipolicy decision-making in dynamic, uncertain environments for autonomous driving. Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA.","DOI":"10.1109\/ICRA.2015.7139412"},{"key":"ref_9","first-page":"1","article-title":"A probabilistic model for discretionary lane change proposals in highway driving situations","volume":"85","author":"Schmidt","year":"2021","journal-title":"Forsch. Ingenieurwesen"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Vallon, C., Ercan, Z., Carvalho, A., and Borrelli, F. (2017, January 11\u201314). A machine learning approach for personalized autonomous lane change initiation and control. Proceedings of the 2017 IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, USA.","DOI":"10.1109\/IVS.2017.7995936"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.simpat.2013.12.007","article-title":"Predicting driver\u2019s lane-changing decisions using a neural network model","volume":"42","author":"Zheng","year":"2014","journal-title":"Simul. Model Pract. Theory"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Wang, X., Wu, J., Gu, Y., Sun, H., Xu, L., Kamijo, S., and Zheng, N. (2018, January 4\u20137). Human-like maneuver decision using LSTM-CRF model for on-road self-driving. Proceedings of the 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA.","DOI":"10.1109\/ITSC.2018.8569524"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ijtst.2018.02.002","article-title":"Comparisons of mandatory and discretionary lane changing behavior on freeways","volume":"7","author":"Vechione","year":"2018","journal-title":"Int. J. Transp. Sci. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1260\/2046-0430.3.3.277","article-title":"Analysis of discretionary lane changing parameters on freeways","volume":"3","author":"Balal","year":"2014","journal-title":"Int. J. Transp. Sci. Technol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"30","DOI":"10.3141\/1857-04","article-title":"Modeling integrated lane-changing behavior","volume":"1857","author":"Toledo","year":"2003","journal-title":"Transp. Res. Rec."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Mei, X., Nagasaka, N., Okumura, B., and Prokhorov, D. (July, January 28). Detection and motion planning for roadside parked vehicles at long distance. Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, Seoul, Korea.","DOI":"10.1109\/IVS.2015.7225720"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Guo, C., Kidono, K., Terashima, R., and Kojima, Y. (2018, January 26\u201330). Toward human-like behavior generation in urban environment based on Markov decision process with hybrid potential maps. Proceedings of the 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, China.","DOI":"10.1109\/IVS.2018.8500439"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Behrendt, K., Mangin, O., Bhakta, N., and Lefevre, S. (2019, January 9\u201312). Is this car going to move? Parked car classification for automated vehicles. In Proceedings of the 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France.","DOI":"10.1109\/IVS.2019.8813810"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.trf.2005.06.001","article-title":"The tendency of drivers to pass other vehicles","volume":"8","author":"Shinar","year":"2005","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1080\/15389588.2018.1471470","article-title":"Effect of traffic density on drivers\u2019 lane change and overtaking maneuvers in freeway situation\u2014A driving simulator\u2013based study","volume":"19","author":"Yang","year":"2018","journal-title":"Traffic Inj. Prev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1061\/(ASCE)TE.1943-5436.0000165","article-title":"Effect of surrounding traffic characteristics on lane changing behavior","volume":"136","author":"Moridpour","year":"2010","journal-title":"J. Transp. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1016\/j.aap.2005.12.016","article-title":"Asymmetric relationship between driving and safety skills","volume":"38","author":"Lajunen","year":"2006","journal-title":"Accid. Anal. Prev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1016\/0167-8655(94)90127-9","article-title":"Floating search methods in feature selection","volume":"15","author":"Pudil","year":"1994","journal-title":"Pattern Recognit. Lett."},{"key":"ref_24","unstructured":"Chollet, F. (2021, August 22). Keras. Available online: https:\/\/github.com\/fchollet\/keras."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/20\/6768\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:12:11Z","timestamp":1760166731000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/20\/6768"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,12]]},"references-count":24,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["s21206768"],"URL":"https:\/\/doi.org\/10.3390\/s21206768","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2021,10,12]]}}}