A Tıme-Based Intuıtıve Path Plannıng On Large-Scale Crowd Sımulatıon Models
xmlui.mirage2.itemSummaryView.MetaDataShow full item record
Traditional management models of intersections, such as no-light intersections or signalized intersection, are not the most effective way of passing the intersections if the vehicles are intelligent. To this end, Dresner and Stone proposed a new intersection control model called Autonomous Intersection Management (AIM). In the AIM simulation, examining the problem from a multi-agent perspective, demonstrating that intelligent intersection control can be made more efficient than existing control mechanisms. In this study, autonomous intersection management has investigated. We extend their works and added a potential-based lane organization layer. In order to distribute vehicles evenly to each lane, this layer triggers vehicles to analyze near lanes and they change their lane if other lanes have advantage. We can observe this behavior in real life such as drivers change their lane by considering their intuitions. Basic intuition on selecting correct lane for traffic is selecting less crowded lane in order to reduce delay. We model that behavior without any change in AIM workflow. Experiment results shows us that intersection performance is directly connected with the vehicle distribution in lanes of roads of intersections We see the advantage of handling lane management with a potential approach in performance metrics such as average delay of intersection and average travel time. Therefore, lane management and intersection management are problems that needs to be handled together. This study shows us that, the lane through which vehicles enter the intersection is an effective parameter for intersection management. Our study draws attention to this parameter and suggested a solution for it. We observed that the regulation of AIM inputs, which are vehicles in lanes, was as effective as contributing to aim intersection management. PLO-AIM model outperform AIM in evaluation metrics such as average delay of intersection and average travel time for reasonable traffic rates which is in between 600 vehicle/hour per lane to 1300 vehicle/hour per lane. Proposed model reduced the average travel time reduced in between %0.2 - %17.3 and reduced average delay of intersection in between %1.6 - %17.1 for 4-lane and 6-lane scenarios.
xmlui.dri2xhtml.METS-1.0.item-citation Serban, Alexandru Constantin, Erik Poll, and Joost Visser. "A standard driven software architecture for fully autonomous vehicles." 2018 IEEE International Conference on Software Architecture Companion (ICSA-C). IEEE, 2018.  Kato, Shinpei, et al. "An open approach to autonomous vehicles." IEEE Micro 35.6 (2015): 60-68.  Nearchou, Andreas C. "Adaptive navigation of autonomous vehicles using evolutionary algorithms." Artificial Intelligence in Engineering 13.2 (1999): 159-173.  Gasparetto, Alessandro, et al. "Path planning and trajectory planning algorithms: A general overview." Motion and operation planning of robotic systems (2015): 3-27  Llorca, David Fernández, et al. "Autonomous pedestrian collision avoidance using a fuzzy steering controller." IEEE Transactions on Intelligent Transportation Systems 12.2 (2011): 390-401.  Gasparetto, Alessandro, et al. "Path planning and trajectory planning algorithms: A general overview." Motion and operation planning of robotic systems (2015): 3-27.  Zhong, Zijia, Mark Nejad, and Earl E. Lee. "Autonomous and Semi-Autonomous Intersection Management: A Survey." arXiv preprint arXiv:2006.13133 (2020).  Dresner, Kurt, and Peter Stone. "Multiagent traffic management: An improved intersection control mechanism." Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. 2005.  Dresner, Kurt, and Peter Stone. "A multiagent approach to autonomous intersection management." Journal of artificial intelligence research 31 (2008): 591-656.  Khayatian, Mohammad, et al. "A survey on intersection management of connected autonomous vehicles." ACM Transactions on Cyber-Physical Systems 4.4 (2020): 1-27.  Sathyaraj, B. Moses, et al. "Multiple UAVs path planning algorithms: a comparative study." Fuzzy Optimization and Decision Making 7.3 (2008): 257.  Šeda, Miloš. "Roadmap methods vs. cell decomposition in robot motion planning." Proceedings of the 6th WSEAS international conference on signal processing, robotics and automation. 2007.  Zhang, Yue J., Andreas A. Malikopoulos, and Christos G. Cassandras. "Optimal control and coordination of connected and automated vehicles at urban traffic intersections." 2016 American Control Conference (ACC). IEEE, 2016.  Bichiou, Youssef, and Hesham A. Rakha. "Real-time optimal intersection control system for automated/cooperative vehicles." International Journal of Transportation Science and Technology 8.1 (2019): 1-12.  Kamal, Md Abdus Samad, et al. "A vehicle-intersection coordination scheme for smooth flows of traffic without using traffic lights." IEEE Transactions on Intelligent Transportation Systems 16.3 (2014): 1136-1147.  Li, Bai, et al. "Near-optimal online motion planning of connected and automated vehicles at a signal-free and lane-free intersection." 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018.  Wu, Yuanyuan, Haipeng Chen, and Feng Zhu. "DCL-AIM: Decentralized coordination learning of autonomous intersection management for connected and automated vehicles." Transportation Research Part C: Emerging Technologies 103 (2019): 246-260.  Dresner, Kurt, and Peter Stone. "Human-usable and emergency vehicle-aware control policies for autonomous intersection management." Fourth International Workshop on Agents in Traffic and Transportation (ATT), Hakodate, Japan. 2006.  Liu, Bing, et al. "Trajectory planning for autonomous intersection management of connected vehicles." Simulation Modelling Practice and Theory 90 (2019): 16-30.  Carlino, Dustin, Stephen D. Boyles, and Peter Stone. "Auction-based autonomous intersection management." 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). IEEE, 2013.  Zohdy, Ismail H., and Hesham Rakha. "Game theory algorithm for intersection-based cooperative adaptive cruise control (CACC) systems." 2012 15th International IEEE Conference on Intelligent Transportation Systems. IEEE, 2012.  Elhenawy, Mohammed, et al. "An intersection game-theory-based traffic control algorithm in a connected vehicle environment." 2015 IEEE 18th international conference on intelligent transportation systems. IEEE, 2015.  Bashiri, Masoud, and Cody H. Fleming. "A platoon-based intersection management system for autonomous vehicles." 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2017.  Bashiri, Masoud, Hassan Jafarzadeh, and Cody H. Fleming. "Paim: Platoon-based autonomous intersection management." 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018.  Zohdy, Ismail H., and Hesham A. Rakha. "Intersection management via vehicle connectivity: The intersection cooperative adaptive cruise control system concept." Journal of Intelligent Transportation Systems 20.1 (2016): 17-32.  Lee, Joyoung, Byungkyu Park, and Ilsoo Yun. "Cumulative travel-time responsive real-time intersection control algorithm in the connected vehicle environment." Journal of Transportation Engineering 139.10 (2013): 1020-1029.  Hassan, Abdallah A., and Hesham A. Rakha. "A fully-distributed heuristic algorithm for control of autonomous vehicle movements at isolated intersections." International Journal of Transportation Science and Technology 3.4 (2014): 297-309.  Yu, Chunhui, et al. "Managing connected and automated vehicles at isolated intersections: From reservation-to optimization-based methods." Transportation research part B: methodological 122 (2019): 416-435.  Khayatian, Mohammad, Mohammadreza Mehrabian, and Aviral Shrivastava. "RIM: Robust intersection management for connected autonomous vehicles." 2018 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2018.  Chen, Rongsheng, et al. "Stability-based analysis of autonomous intersection management with pedestrians." Transportation research part C: emerging technologies 114 (2020): 463-483.  Ozcan, Cumhur Yigit, and Murat Haciomeroglu. "A path-based multi-agent navigation model." The Visual Computer 31.6 (2015): 863-872.  Van Den Berg, Jur, et al. "Reciprocal n-body collision avoidance." Robotics research. Springer, Berlin, Heidelberg, 2011. 3-19.  Ozcan, Cumhur Yigit, Ebru Akcapinar Sezer, and Murat Haciomeroglu. "A time‐based global path planning strategy for crowd navigation." Computer Animation and Virtual Worlds 30.2 (2019): e1864
The following license files are associated with this item: