Abstract With the continuous development of vehicle intelligence technology and active safety technology, autonomous emergency braking pedestrian (AEB-P) system has emerged as a crucial element contemporary automotive systems. However, there are still some deficiencies in control strategies utilized by current AEB-P system. It is imperative to design an that can adapt threshold strategy real-time based on driving conditions. The objective this paper propose with adaptive analyze its...

Traditional object-matching methods rely on similarities among shared attributes. Profile-based object matching builds this approach but also correlates disjoint attributes to improve accuracy. To illustrate the PROM approach, we use two relational tables: one contains information about movies, other movie reviews.

Abstract Research shows that there are some data sets with strong timing in reality. After certain processing, they can predict the changes of transactions future to extent and play a positive role guiding production. However, often have characteristics overall trend variability seasonal fluctuation, also affected by many random factors. Therefore, show non stationarity. In this paper, CEEMD-LSTM-ARIMA combined model is proposed. This method reconstructs variables decomposing time series...

Precisely predicting bus arrival time and offering the optimal transfer scheme are two key factors for realizing intelligent transportation. Most studies only use historical data to predict time, which results in large errors. In this paper, considering real-time operation schemes, we propose a fusion improve prediction accuracy. Firstly, it proposed based link technology according its data; Secondly, BP neural network model correction layer is adopted when of some interval missed. Finally,...

In order to accurately describe the force mechanism of tires on agricultural roads and improve life cycle tires, a tire-deformable terrain model was established. The effects tread pattern, wheel spine, tire sidewall elasticity, inflation pressure soil deformation were considered in fitted with support vector machine (SVM) model. Hybrid particle swarm optimization (HPSO) used optimize parameters SVM prediction model, which inertia weight learning factor improved. To verify performance vehicle...

Due to the randomness and weak symmetry of traffic accidents occurring in expressway maintenance operation area, it is difficult use number evaluate safety areas. In this paper, characteristics conflicts area with lane closed on outside two-way four-lane are studied. By using statistical method, distribution vehicle speed time headway different areas analyzed, queuing vehicles upstream transition zone determined. Based improved collision (TTC) model, conflict severity divided. The negative...

In order to improve the survival rate of injured in accident, many vehicles are now equipped with automatic crash notification system (ACNS) vehicle. As core system, driver injury prediction model can predict driver's category time and send situation emergency medical institution. The institution arranges optimal rescue team hospital according obtained by algorithm, which greatly reduces economic loss mortality caused accident. This paper mainly studies severity injury. Using annual data...

This research is conducted on the characters and trends of traffic flow in highway maintenance work areas under typical forms. In order to improve safety area, a data monitoring method based combination mixed speed measurement background difference were developed. During on-site detection, starting point warning zone, upstream transition working midpoint six sections zone collected at end zone. video subtraction was used, morphological denoting connected domain analysis used retain vehicle...

In order to accurately describe the force mechanism of tires on agricultural roads and improve life cycle tires, a tire-deformable terrain model was established. The effects tread pattern, wheel spine, tire sidewall elasticity, inflation pressure soil deformation were considered in fitted with support vector machine (SVM) model. Hybrid particle swarm optimization (HPSO) used optimize parameters SVM prediction model, which inertia weight learning factor improved. To verify performance vehicle...

The augmented reality (AR) has been developed dramatically in recent years, and it being widely used military training, medical treatment, education so on. While the vergence-accommodation conflict (VAC) remains a major problem head mounted displays (HMD) for reality. In this review, we discuss cause of reality, introduce various methods to solve VAC, along with advantages shortcomings.

This paper studied the condition monitoring system of workshop production, and built framework, overall hardware architecture software design. Through analysis production system, this research chose temperature sensor with high performance, applied two methods for data collection. EVOC produced by industrial control computer, acquisition card constituted close-distance method, based on RS-485 bus module long-distance method. The relay output completed signal function, electromagnetic valve...

With the development of science and technology, modern agriculture has made great progress, but frequent agricultural safety events seriously affect people's trust in production even economic social development. Therefore, it is very important to trace origin products. Blockchain, as a new technology recent years, been widely used various source tracing fields due its characteristics decentralization, traceability, non-tampering. This paper designs tobacco system based on alliance chain. The...

Efficiency and notification accuracy are two critical criteria for evaluating the performance of automatic crash (ACN) systems. The discrimination threshold (DT) is used to assess whether a collision accident occurs. Typically, DT value determined based on maximal acceleration peak from multiple road tests. Because an overlarge unnecessary in most driving scenes simultaneously adversely affects accuracy, recognition (CR) algorithm with adaptive proposed. First, road–vehicle simulation model...

To study the problem about optimal combination of postponement operations in context supply chain network, a decision-making model is developed. In two kinds product differentiations and three types are considered. Then procedure for solving this proposed. By using numerical example, we analyze effect cost structure on decision operations. The results show that if customizing high, no operation should be adopted, subassembly-related costs large assembling directly components more sensible,...

This paper was motivated by the practices of some Chinese automobile manufacturers who had changed their production planning processes in order to obtain more demand information. We regard method s as an example postponement implementation and name it (PPP). F irst ly, treat ing PPP a two-level hierarchical structure problem which is characterized families items w e develop analytical model for evaluating value this kind postponement. Secondly, we propose algorithm based on generalized...

This paper focuses on partial postponement strategy with multiple items. We first build a basic multi-item model which ignores the influence of customers' waiting cost. Then we propose an effective algorithm to solve this and obtain approximate optimal quantities generic finished Finally, develop considering customer The results numerical examples show that if cost is taken into account, expected time increases increase quantity good while rate declines.