S‐curves are common and complex curves in road networks, consisting of two opposite directions connected by a short segment. Drivers’ behavior on reflects their ability to navigate environments, which is not yet fully understood. This study examines speed patterns five using naturalistic driving dataset 2676 vehicle trajectories. A hierarchical clustering method proposed identify typical S‐curves, mixed logit model developed analyze the influence curve radius, slope, lighting conditions...

In the context of normalized epidemic prevention and control, impact masks protective clothing on personal thermal comfort cannot be overlooked. To investigate outdoor personnel under various conditions, this study took Wuhan as an example evaluated subjects different protection activity conditions through environment monitoring, physiological measurements, questionnaires. The results show significant differences in PET baseline conditions. address problem that most areas have not yet...

Currently, research on road traffic safety is mostly focused evaluations based statistical indices for accidents. There still a need in-depth investigation preaccident identification of risks. In this study, the correlations between high-incidence locations aberrant driving behaviors and accidents are analyzed vehicle OBD data. A risk estimation index system with entropy (RTSE) as primary rapid acceleration frequency, deceleration turning speeding high-speed neutral coasting frequency...

Bus lanes are an important measure for improving the quality of bus service and efficiency transportation systems. A scientific reasonable evaluation overall traffic operation priority road section is helpful to fully understand improvement effect introduction on operation. To comprehensively objectively evaluate benefits lanes, Delphi grey correlation methods were used construct a comprehensive weight calculation model indicators. The weights eight benefit indicators at two levels buses...

Collision avoidance has been widely researched in the field of intelligent vehicles (IV). However, majority research neglects individual driver differences. This paper introduced a novel personalized collision control (PCAC) strategy for IV based on driving characteristics (DC), which can better satisfy various scenarios and improve drivers’ acceptance. First, driver’s DC is initially classified into four types using K-means clustering, followed by application analytic hierarchy process...

In vitro dissolution profile has been shown to be correlated with the drug absorption and often considered as a metric for assessing in bioequivalence between test product corresponding reference one. Various methods have developed assess similarity two profiles. particular, factor f2 reviewed discussed extensively many statistical articles. Although lacks inferential properties, estimation of its various modified versions were most widely used comparing this paper, we investigated...

To investigate traffic accident patterns in undersea tunnels and quantify the relationship among various factors accidents tunnels, we analyzed rules of evolution during entire process vehicle congestion queuing. Additionally, built a maximum queue-length estimation model based on shock-wave theory whole-process real-time data input. The results demonstrate that is most precise when are not smoothed time interval 30 s. accuracy improved by smoothing processing, but it substantially between 5...

Salinity is regarded as a critical factor in marine systems. It essential to monitor the long-term changes sea surface salinity (SSS), well its short-term changes. Along these lines, this work, hourly, daily, and monthly SSS Chinese Bohai Sea from GOCI (Geostationary Ocean Color Imager) images, feasibility of adopting MERIS-based retrieval algorithm was systematically explored develop GOCI-based algorithm. To avoid influence atmospheric correction error on Rrs(λ) similar bands MERIS (490 nm,...

The driving situation is complicated in an extra-long tunnel. If a traffic collision happens, car evacuation and people rescue the tunnel will be more challenging. safety efficiency of considerably enhanced if vehicle trajectory can precisely assessed risk predicted advance. However, due to limitations data capture vehicle-mounted equipment tunnels, estimating with vehicle-side difficult. In this research, vehicle-trajectory prediction model based on section developed using existing roadside...

Video surveillance has become an important measure of urban traffic monitoring and control. However, due to the complex diverse video scenes, data extraction from original videos is a sophisticated difficult task, corresponding algorithms are high complexity calculation cost. To reduce algorithm subsequent computation cost, this study proposed autoencoder model which effectively reduces dimension by optimizing structural parameters; thus several recognition models can conduct image...

The short-distance continuous diversion area plays a crucial role within mountainous urban expressway systems, significantly enhancing the efficiency of specialized road sections through capacity analysis. This study develops calculation model tailored to area's unique characteristics and principal capacity-influencing factors. Initially, research focuses on specific expressway, employing video trajectory tracking technology gather data. data serves as basis for analyzing traffic...

The focus of sustainable urban transportation development lies in realizing the untapped capacity potential existing road network and enhancing its operational efficiency without expanding physical footprint. To quantify supply networks mountainous cities, this paper converts problem solving into minimum cut set from perspective capacity, using idea auxiliary diagram method graph theory. By improving limitation that map is only applicable to single starting point terminal network, a regional...

Relays with hysteresis are used to determine points on the frequency response curve of a plant specified gain or phase. On-line algorithms developed adjust parameters relay in such way that limit cycling conditions correspond operating point interest. When objective is find gain, amplitude tuned iteratively. phase, then width tuned. The and its cross-over assumed unknown. only assumption stable exist for under feedback control. Simulation results show our can give accurate identification...

Analyzing the traffic capacity of extra-long tunnels is crucial in assessing their sustainable capacity. However, previous studies on tunnel mainly considered influence a single factor, ignoring interaction between multiple factors, which cannot reflect actual Therefore, considering this paper constructs an calculation model for tunnels. Firstly, by combining hierarchical analysis and entropy method, we determined key factors that Secondly, based constructed simulation model, using...

Passenger cars have emerged as a substantial segment of the vehicles traversing expressways, generating extensive traffic data on daily basis. Accurately identifying individual and their travel patterns characteristics is crucial in addressing issues that impede sustainable development including accidents, congestion, environmental pollution, losses both personnel property. Regrettably, utilization electronic toll collection (ETC) expressways currently not adequate, analysis feature mining...

The traditional precision orbit determination (POD) of Global Navigation Satellite System (GNSS) usually relies on a large number global ground stations. rapid development the Low Earth Orbit (LEO) communication constellation in recent years provides an opportunity for integrated POD LEO and GNSS satellites. participation abundant observations from onborne receivers can greatly improve accuracy, availability, integrity However, improvement accuracy is accompanied by sharp increase...

Abstract. Within-class spectral variation and between-class confusion in remotely sensed imagery degrades the performance of built-up area detection when using planar texture, shape, features. Terrain slope building height are often used to optimize results, but extracted from auxiliary data (e.g. LIDAR data, DSM). Moreover, must be acquired around same time as image acquisition. Otherwise, accuracy is affected. Stereo incorporates both information unlike single images. by many satellites...