Recent developments and research needs in modeling lane changing
Z Zheng - Transportation research part B: methodological, 2014 - Elsevier
This paper comprehensively reviews recent developments in modeling lane-changing
behavior. The major lane changing models in the literature are categorized into two groups …
behavior. The major lane changing models in the literature are categorized into two groups …
Driver behavior modeling toward autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …
studies, and developing driver-assisting systems. In recent years, driver behavior …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
A data-driven lane-changing model based on deep learning
DF Xie, ZZ Fang, B Jia, Z He - Transportation research part C: emerging …, 2019 - Elsevier
Abstract Lane-changing (LC), which is one of the basic driving behavior, largely impacts on
traffic efficiency and safety. Modeling an LC process is challenging due to the complexity …
traffic efficiency and safety. Modeling an LC process is challenging due to the complexity …
Data-driven analysis and forecasting of highway traffic dynamics
The unpredictable elements involved in a vehicular traffic system, like human interaction and
weather, lead to a very complicated, high-dimensional, nonlinear dynamical system …
weather, lead to a very complicated, high-dimensional, nonlinear dynamical system …
A binary decision model for discretionary lane changing move based on fuzzy inference system
E Balal, RL Cheu, T Sarkodie-Gyan - Transportation Research Part C …, 2016 - Elsevier
This paper presents a Fuzzy Inference System (FIS) which models a driver's binary decision
to or not to execute a discretionary lane changing move on freeways. It answers the …
to or not to execute a discretionary lane changing move on freeways. It answers the …
Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow
Y Wang, L Wang, J Guo, I Papamichail… - … research part C …, 2022 - Elsevier
Connected and automated vehicles (CAVs) enabled by wireless communication and vehicle
automation are believed to revolutionize the form and operation of road transport in the next …
automation are believed to revolutionize the form and operation of road transport in the next …
Review of microscopic lane-changing models and future research opportunities
Driver behaviors, particularly lane-changing behaviors, have an important effect on the
safety and throughput of the roadway-vehicle-based transportation system. Lane-changing …
safety and throughput of the roadway-vehicle-based transportation system. Lane-changing …
Autonomous vehicle cut-in algorithm for lane-merging scenarios via policy-based reinforcement learning nested within finite-state machine
Lane-merging scenarios pose highly challenging problems for autonomous vehicles due to
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …
conflicts of interest between the human-driven and cutting-in autonomous vehicles. Such …
Multi-agent reinforcement learning for autonomous vehicles: A survey
In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …