Modeling of driver behavior on trajectory–speed decision making in minor traffic roadways with complex features

J Xu, HB Shu, YM Shao - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
The selection of trajectory and speed is a crucial factor in automobile driving behavior.
However, almost all the research objects of existing Driver models are developed for driving …

Modeling typical driving patterns in target trajectory decisions for vehicles traversing roads with complex shapes

J Xu, J Zhao, K Yang, Y Shao - Simulation, 2016 - journals.sagepub.com
Deciding a target trajectory within the edges of a driveway is the primary task undertaken by
a person driving along a road. Therefore, a trajectory decision model is an essential …

Driving Intention Recognition and Speed Prediction at Complex Urban Intersections Considering Traffic Environment

T Yuan, X Zhao, R Liu, Q Yu, X Zhu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Reliable motion prediction of surrounding vehicles is the key to safe and efficient driving of
autonomous vehicles, especially at urban intersections with complex traffic environments …

A human-like trajectory planning method on a curve based on the driver preview mechanism

J Zhao, D Song, B Zhu, Z Sun, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicle technology, many studies have been focused on
developing human-like trajectory planning methods for automated driving systems. Although …

Real-time prediction of vehicle trajectories for proactively identifying risky driving behaviors at high-speed intersections

C Tan, N Zhou, F Wang, K Tang… - Transportation research …, 2018 - journals.sagepub.com
At high-speed intersections in many Chinese cities, a traffic-light warning sequence at the
end of the green phase—three seconds of flashing green followed by three seconds of …

Driver's individual risk perception-based trajectory planning: A human-like method

Y Yan, J Wang, K Zhang, Y Liu, Y Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …

An integrated decision and motion planning framework for automated driving on highway

P Wu, F Gao, X Tang, K Li - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Decision-making and motion planning are two core functionalities of intelligent vehicles. A
novel integrated decision-making and planning framework is presented for real-time and …

General driving behavior model based on the desired safety margin for vehicle flow simulation

P Cai, J Zhang, X Zhao, Y Li - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
Traffic flow simulation is indispensable for the construction of digital urban traffic. Similar-to-
real simulation can provide an effective verification platform for intelligent traffic …

Modeling the speed choice behaviors of drivers on mountainous roads with complicated shapes

Y Shao, J Xu, B Li, K Yang - Advances in Mechanical …, 2015 - journals.sagepub.com
Roadway geometric features and pavement conditions can significantly affect driver
behavior, particularly with regard to vehicle speed. This paper presents the development of …

Intelligent Vehicle Longitudinal Decision Making Based on Behavior Recognition

CAO Bo, LI Yong-le, Z Kai, ZHU Yuan - Journal of Transportation …, 2020 - tseit.org.cn
This paper focuses on the longitudinal decision-making of intelligent vehicles. A method
based on the degree of deviation from travel lane was proposed to identify the mode of …