Ziyu Zhang

• Master's Student at Southeast University

Accurate identification of high fuel consumption driving behaviors provides good theoretical support for eco-driving training. To gain a deeper understanding of contributing factors and their impacts on fuel consumption, this study acquired a driving data set based on a driving simulator test and employed the light gradient-boosting machine (LightG...

Objectives: Aggressive driving behavior can lead to potential traffic collision risks, and abnormal weather conditions can exacerbate this behavior. This study aims to develop recognition models for aggressive driving under various climate conditions, addressing the challenge of collecting sufficient data in abnormal weather. Methods: Driving da...

Accurate identification of high fuel consumption driving behaviors provides good theoretical support for eco-driving training. To gain a deeper understanding of contributing factors and their impacts on fuel consumption, this study acquired a driving data set based on a driving simulator test and employed the light gradient-boosting machine (LightG...

Aggressive driving significantly impacts traffic safety, and heavy‐duty vehicle drivers are more liable for causing serious crashes. This paper analyzes drivers' aggressive driving behavior from the vehicle type perspective and identifies the influencing factors of aggressive driving behavior through artificial neural network (ANN) and Shapley addi...

Early warning of grassland degradation is of great significance for maintaining the stability of grassland ecosystem and for ensuring the property security of herding households. This study explored and validated the feasibility of applying the information quantity model to assess grassland degradation susceptibility, which can provide some guidanc...

Heavy-duty trucks have a high risk of accidents and a high probability of serious accidents. These can easily cause major life and economic losses. The transportation-safety management of heavy-duty trucks is challenging. To explore the relationship between the driving stability of heavy-duty truck drivers and related influencing factors, this stud...

Free-floating bike-sharing systems have rapidly gained popularity as a viable short-distance transportation mode. As users play a significant role in the movement of the bikes in such a system, the basis for evaluating bike usage is to predict the gap between the locking and unlocking behaviour in a specified grid, which is defined as the inflow an...

As a product of the shared economy, online car-hailing platforms can be used effectively to help maximize resources and alleviate traffic congestion. The driver’s behavior is characterized by his or her driving style and plays an important role in traffic safety. This paper proposes a novel framework to classify driving styles (defined as aggressiv...

Risky driving behavior of taxi drivers typically evaluated for full operation or sometimes sorted into occupied and empty running trips. In this paper, we simultaneously analyze aggressive driving and distracted driving of taxi drivers under three different trip categories. Trip origin is considered a transition from without ride-order to with ride...

In elevating the efficiency and practicality of warehouse operations, our team proposes the concept of interconnected dangerous goods warehouses. To support the operations of this kind of warehouse, this original study addresses three factors that affect the operations of such warehouses, namely the distance traveled by the forklift (cost factors),...

Aggressive driving, amongst inappropriate driving behaviors, is largely responsible for leading to traffic accidents, which threatens both safety and property of human beings. With the objective to reduce traffic accidents and improve road safety, effective and reliable aggressive driving recognition methods, which enables the development of drivin...