abstract in the present article, effective parameters of the buoyant jets have been evaluated in the stagnant ambient fluid. the jet parameters, geometry parameters and environmental parameters are investigated. using dimensional analysis, a set of dimensionless functions was obtained. to achieve the exact functions, a physical model was built in the hydraulic laboratory of shahid chamran unive...

Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...

Connected and autonomous vehicles (CAVs) have the ability to receive information on their leading through multiple sensors vehicle-to-vehicle (V2V) technology then predict future behaviour thus improve roadway safety mobility. This study presents an innovative algorithm for connected determine trajectory considering surrounding vehicles. For first time, XGBoost model is developed acceleration r...

The increasing use of location-aware devices has led to an increasing availability of trajectory data. As a result, researchers devoted their efforts to developing analysis methods including different data mining methods for trajectories. However, the research in this direction has so far produced mostly isolated studies and we still lack an integrated view of problems in applications of trajec...

Traffic oscillation, stop and go traffic, is created by different reasons such as: sudden speed drop of leader vehicle. Stop and go traffic commonly is observed in congested freeways results in traffic oscillation. Many theories had been presented to define congestion traffic based on laws of physics such as: thermodynamics and fluid. But, these theories could not explain the complexity of driv...

Abstract The analysis of movement trajectories plays a central role in many application areas, such as traffic management, sports analysis, and collective behavior research, where large complex trajectory data sets are routinely collected these days. While automated methods available to extract characteristics statistics on the geometry, patterns, locations that might be associated with importa...

background:  the  current study examined race and ethnic differences in the separate and combined (additive) effects of anxiety, depression and problem drinking on the baseline and trajectory of subjective health among adult men in the united states. methods:  this longitudinal study used data from the fragile families and child well-being study. we included 4655 men, composed of 2407 blacks, 1...

Highway merging points are critical elements due to the interactions between vehicles and following on outermost lane of highway stream. Such could have significant implications for safety capacity at ramp locations. The aim this study was investigate spacing adjustment behavior by interacting drivers In regard, we relied NGSIM trajectory dataset impacts speed difference a space headway, consid...

Skilled drivers have the driving behavioral characteristic of pre-sighted following, and similarly intelligent vehicles need accurate prediction future trajectories. The LSTM (Long Short-Term Memory) is a common model trajectory prediction. existing models pay less attention to interactions between target surrounding vehicles. Furthermore, impacts on trajectories vehicle also barely been focus ...