Although guardrail systems are designed to reduce crash impacts for errant vehicles, the actual effects of in-service on reducing severity have been rarely validated and quantified. This article uses real-world data assess effectiveness in fatal severe injury crashes. A roadway departure model is developed using binary logit model, statistical proportion tests conducted compare with without hits. Both methods suggest that hitting could probability by about 45% 50% reduction statistically...

Purpose Smart mobility is a major guideline in the development of Cities’ transport systems and management. The issue transition into green, secure sustainable modes, such as using bicycles, should be implemented this case, along with subjectivism Design/methodology/approach proposed technology reflects Bicycle vehicle model, which tracks cyclists weather conditions turns to electric motors critical circumstances. Findings This reduces physical load battery consumption affects ecology...

Gait recognition has already achieved satisfactory performance on small databases under ideal conditions. Most of the existing approaches represent gait pattern using a locomotion model or statistic human silhouette. However, it is still challenging task to conduct identification variations clothing and carrying condition in real scenes. In this paper, an adaptive part-based feature selection method proposed filter out interference blocks matching procedure performed identify correct...

Aiming at the problem that it is difficult to ensure trajectory tracking accuracy and driving stability of distributed driven driverless formula racing car under high-speed conditions, a lateral longitudinal coordinated control strategy proposed. Based on adaptive model predictive theory, motion controller designed, prediction time domain changed in real according change vehicle speed. sliding mode variable structure designed accurately track desired Considering coupling between controls,...

Public vehicle service (PVS), as a paradigm to manage and share large-capacity vehicles for public passenger delivery, is promising improve the quality of urban transportation. In PVS system, command center receives requests sent by passengers, periodically assigns them schedules routes serve requests. However, in passengers' waiting time not well utilized. Moreover, it observed that driving distance on low-speed roads accounts rather high percentage. These two factors impact system...

In order to reduce the energy consumption caused by frequent braking of vehicles at signalized intersections, an optimized speed trajectory control method is proposed, based on recovery efficiency (BERE) in connection with automated system for vehicle real-time interaction roadside facilities and regional central control. Our objectives were as follows; firstly, establish simulation model hybrid regenerative (HERBS) verify it bench test. Secondly, build up genetic algorithm (GA) optimization...

In this paper, we investigate driver braking behaviour under near-crash scenarios in one district of China. Real traffic were first collected using video drive recorder and these screened classified then six typical types obtained. Then by processing the images analysing velocity curves, scenarios, especially ‘following vehicle approaching a decelerating lead vehicle’, was extracted analysed. Finally, brake reaction time, average deceleration during emergency phase timing initiation The...

Heating Ventilation and Air Conditioning (HVAC) systems are designed to provide a comfortable indoor thermal environment for the occupants. Conventionally, Predicted Mean Vote (PMV) model is used represent comfort which only an average it cannot reflect individual differences in sensation. This paper proposes personalized based on machine learning classification algorithm called Support Vector Classification (SVC). We Android application collect feedback from occupants about their sensation...

One fundamental difficulty in understanding the physics of off-road traction and predicting vehicle performance is indeterminacy certain important parameters on interface between tyre terrain/road surface, for instance, slip ratio, angle, normal forces, friction coefficients. It not possible to accurately capture effect such uncertainties behaviour (resultant force moments) using a deterministic model. In addition, current measuring techniques have limitations sometimes non-negligible...

The vehicle model was built based on MATLAB/Simulink and Carsim, the multi-objective active collision avoidance control algorithm considering safety comfort established a predictive (MPC) algorithm. system for studied by simulation experimentation. results show that an MPC can follow under different working conditions ensure in process of following while meeting requirements system.

In Intelligent Transport field, the Public Vehicle System is proposed to introduce a concept of specialized vehicle for public transportation, which can integrate and substitute vehicles such as taxis, buses railways. model has several advantages over earlier models, but algorithm in can't consider all potential solutions when building new paths, resulting decrease performance. We expand searching method cover cases insertion achieve lower cost. Our simulations show that Combinatorial...

The test platform plays an important role for the development of intelligent vehicles. In this work, we propose to design and build a miniature model before building real scene. whole system consists simulated traffic environment, micro-intelligent vehicle visual information processing. Firstly, applied perception is proposed. Secondly, some algorithms about environmental element detection such as lane detection, light signal recognition obstacle are presented. experiment validated proposed...

This paper proposes a regenerative braking control strategy based on real-time dynamic loading (RTDL) of wheels. Based the nonlinear relationship between spring’s resilience and displacement, this establishes 7-degrees freedom (DOF) full vehicle model with suspension. Then, method suspension deformation is devised to calculate wheels’ load, RTDL used force front rear With intensity battery state charge (SOC) as input variables desired an output variable, we establish simulate it in ADVISOR...

Convolutional neural networks is a common mean of accomplishing image classification tasks in recent years. The input the existing are single color space (RGB space). In this paper, we propose an ensemble learning based multi-color convolutional network, which can combine advantages multiple spaces on image. addition, conversion process bring more nonlinear components to increase effectiveness solving real-world tasks. Moreover, article optimizes method mentioned, so that parameter quantity...

Chronic intermittent hypoxia (CIH) contributes to the increased risk of cardiovascular diseases in obstructive sleep apnea (OSA). We previously reported anti-apoptotic effects estradiol (E2) on IH-exposed human umbilical vein endothelial cells (HUVECs). Herein, we employed a proteomic analysis elucidate mechanisms protective E2 under IH exposure.HUVECs were divided into three groups: control, IH, and IH+E2 group. Isobaric tags for relative absolute quantification (iTRAQ) performed compare...

In this paper, a comparative study on the performance of scheduling rules in job shop. Four new dispatching are proposed. mean, maximum ,variance tardiness and proportion tardy jobs have been used to evaluate various rules. Breakdown level, shop load level was considered study. The simulation result indicate is being influenced by level.

In this paper, we propose a method for the generation of simulated test scenarios autonomous driving. Based on requirements standard regulatory scenarios, can generate virtually and functional scenario libraries driving, which be used verification different ADAS functions. Firstly, operational design domain (ODD) is selected, weight values ODD elements are calculated. Then, combination algorithm based parameter weights improved to driving cases elements, effectively reduce number generated...