Automatic emergency braking (AEB) system play an essential role in avoiding traffic collisions and minimizing impact strengths, which contributes to improving road safety. However, the present research of AEB is mainly concentrated on car pedestrian collisions. China has typical mixed characteristics, especially frequent two-wheeler collision accidents. Research prevent complex multi-traffic scenarios great significance further improve comprehensive performance system. In this article, based...

This paper presents a fusion control strategy of adaptive cruise (ACC) and collision avoidance (CA), which takes into account driver's behavioral style. First, questionnaire survey was performed to identify driver type, the corresponding driving data were collected via simulator experiments, served as template for online identification type. Then, driver-adaptive ACC/CA designed, its effect verified by virtual experiments. The results indicate that proposed could achieve ACC CA successfully...

The purpose of this study is to investigate the unsafe conditions pedestrian crossings at signalized intersections under mixed traffic environment in Changsha, China. For purpose, based really pedestrian-related crash data Changsha city and visualized geographic information, six typical urban were selected. peak off-peak surveillance videos collected via field surveys, 1,070 conflicts extracted through using professional trajectory tracking software Traker track vehicle trajectories. PSMT...

Vehicle speed trajectory and traffic signals significantly impact vehicle's fuel consumption travel time in the urban road network. In this paper, we proposed an optimal vehicle routing algorithm that takes waiting at signalized intersections eco-driving model into consideration. First, data of floating car collected by GPS are matched with electronic map, average traveling each segment is calculated real time. The position timing information signal lights intersection pre-acquired to...

In the navigation of unmanned surface vessels (USVs), external disturbances, particularly ocean waves, frequently induce deviations from desired trajectory. To mitigate these challenges, we propose a novel disturbance rejection control strategy based on Stackelberg game theory, designed to address unmodeled system dynamics, complex environmental conditions, and other perturbations. This approach incorporates several key innovations. First, introduce velocity error dynamic coupled with...

In this study, a novel classification method for driver’s cognitive stress level was proposed, whereby the interbeat intervals extracted from an electrocardiogram (ECG) signal were transferred to pictures, and convolution neural network (CNN) used train pictures classify level. First, we defined three levels of tasks collected ECG driver at different by designing performing driving simulation experiment. We converted them according number consecutive in each picture. Second, CNN model data...

Electric vehicles are powered by battery packs, which usually composed of hundreds units in series or parallel. For power pack performance evaluation, many literatures have been published, including online assessment, life prediction and offline evaluation. Nevertheless, evaluation strategies that include both not attracted sufficient attention. In this paper, we propose a method based on MCPE-DEKF, can solve the problem consistency analysis sort cells offline, as well as, implementing state...

The objective of the present study is to investigate influence neck muscle activation on whiplash injury occupants a passenger vehicle under different severities frontal and rear-end impact collisions. finite element (FE) model has been used as versatile tool simulate understand mechanism for occupant prevention. However, injuries mechanisms have rarely investigated in connection with active forces, which restricts complete reappearance understanding mechanism. In this manuscript, mixed FE...

Due to the anonymity of blockchain, frequent security incidents and attacks occur through it, among which Ponzi scheme smart contract is a classic type fraud resulting in huge economic losses. Machine learning-based methods are believed be promising for detecting ethereum schemes. However, there still some flaws current research, e.g., insufficient feature extraction contracts, without considering class imbalance. In addition, room improvement detection precision. Aiming at above problems,...

With the increasingly serious problem of environmental pollution, new energy vehicles have become a hot spot in today’s research. The lithium-ion battery has mainstream power as it advantages long service life, high-rated voltage, low self-discharge rate, etc. management system is key part that ensures efficient and safe operation vehicle well life battery. accurate estimation state directly affects whole vehicle’s performance. As result, this paper established charge model based on BP,...

The objective of the present study is to develop an age-specific lower extremity finite element model for pedestrian accident simulation. Finite (FE) models have been used as a versatile tool simulate and understand injury mechanisms assess risk during crashes. However, current computational only represent certain ages in population, age spectrum victims very large, geometry anatomical structures material property extremities changes with adults, which could affect tolerance, especially...