2 citations · 5 across the 6 of their papers we have counts for
6 papers
Driving pattern interpretation based on action phases clustering
Xue Yao, Simeon C. Calvert, Serge P. Hoogendoorn
Current approaches to identifying driving heterogeneity face challenges in comprehending fundamental patterns from the perspective of underlying driving behavior mechanisms. The co…
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
Xue Yao, Shengren Hou, Serge P. Hoogendoorn +1
Lane-changing (LC) is a challenging scenario for connected and automated vehicles (CAVs) because of the complex dynamics and high uncertainty of the traffic environment. This chall…
Game-theoretical approach to decentralized multi-drone conflict resolution and emergent traffic flow operations
Serge Hoogendoorn, Victor Knoop, Hani Mahmassani +1
This paper introduces decentralized control concepts for drones using differential game theory. The approach optimizes the behavior of an ego drone, assuming the anticipated behavi…
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events
Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers +1
This paper presents novel technology and methodology aimed at enhancing crowd management in both the planning and operational phases. The approach encompasses innovative data colle…
Identification of Driving Heterogeneity using Action-chains
Xue Yao, Simeon C. Calvert, Serge P. Hoogendoorn
Current approaches to identifying driving heterogeneity face challenges in capturing the diversity of driving characteristics and understanding the fundamental patterns from a driv…
Modelling supported driving as an optimal control cycle: Framework and model characteristics
Meng Wang, Martin Treiber, Winnie Daamen +2
Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper pu…