A review of vehicle lane change research
C Ma, D Li - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
Vehicle lane change behavior, which is an important part of traffic flow theory, can have a
fundamental impact on the macro and micro characteristics of traffic flow. At the same time, it …
fundamental impact on the macro and micro characteristics of traffic flow. At the same time, it …
A joint control model for connected vehicle platoon and arterial signal coordination
P Wang, Y Jiang, L Xiao, Y Zhao… - Journal of Intelligent …, 2020 - Taylor & Francis
The emerging advanced intelligent transportation systems, such as connected vehicles (CV)
and cooperative vehicle-to-infrastructure system (CVIS), attract much research attentions …
and cooperative vehicle-to-infrastructure system (CVIS), attract much research attentions …
Cooperative lane-change motion planning for connected and automated vehicle platoons in multi-lane scenarios
X Duan, C Sun, D Tian, J Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-vehicle motion planning (MVMP) has become an emerging paradigm in connected
and automated vehicles (CAVs). The cooperative lane-change movements with the …
and automated vehicles (CAVs). The cooperative lane-change movements with the …
[HTML][HTML] 智能网联汽车协同生态驾驶策略综述
杨澜， 赵祥模， 吴国垣， 徐志刚， 惠飞， 郝鹏… - 交通运输工程 …, 2020 - transport.chd.edu.cn
为了跟踪近年来智能网联汽车(CAV) 协同生态驾驶策略的研究进展, 分析了车辆, 驾驶行为,
交通网络和社会这4 类因素对CAV 能耗的影响程度, 以车辆, 基础设施和旅行者为对象对目前 …
交通网络和社会这4 类因素对CAV 能耗的影响程度, 以车辆, 基础设施和旅行者为对象对目前 …
Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods
Transportation safety is highly correlated with driving behavior, especially human error
playing a key role in a large portion of crashes. Modern instrumentation and computational …
playing a key role in a large portion of crashes. Modern instrumentation and computational …
Features injected recurrent neural networks for short-term traffic speed prediction
L Qu, J Lyu, W Li, D Ma, H Fan - Neurocomputing, 2021 - Elsevier
Accurate traffic speed forecasting is critical in advanced transportation management and
traveler route planing. Considering the important influences of spatial–temporal factors and …
traveler route planing. Considering the important influences of spatial–temporal factors and …
The dynamic tradeoff between safety and efficiency in discretionary lane-changing behavior: A random parameters logit approach with heterogeneity in means and …
The discretionary lane-changing behavior is highly associated with crash occurrence. This
paper investigates the dynamic tradeoff between safety and efficiency and influencing …
paper investigates the dynamic tradeoff between safety and efficiency and influencing …
A deep learning framework for modelling left-turning vehicle behaviour considering diagonal-crossing motorcycle conflicts at mixed-flow intersections
With heterogeneous traffic agents moving at unprotected phase, severe crossing conflicts
are witnessed at mixed-flow intersections, especially when left-turning vehicles are …
are witnessed at mixed-flow intersections, especially when left-turning vehicles are …
A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation
The paper proposes a traffic responsive control framework based on a Model Predictive
Control (MPC) approach. The framework focuses on a centralized method, which can …
Control (MPC) approach. The framework focuses on a centralized method, which can …
Genetic algorithm combined with BP neural network in hospital drug inventory management system
M Du, J Luo, S Wang, S Liu - Neural Computing and Applications, 2020 - Springer
At present, there are problems such as low level of drug inventory management in major
hospitals, which directly lead to the stagnation of the drug supply chain and the high cost of …
hospitals, which directly lead to the stagnation of the drug supply chain and the high cost of …