Visual object-oriented application for lane following on intelligent highway system

A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic running and abnormal information input from the sensors are chosen out. In addition, the functions of real-time display, information exchanging interface, determination and operation interweaving in the 3 user services are separated into 5 object-oriented classes. Moreover, the 5 classes are organized in the visual development environment. At last, experimental result proves the validity and reliability of the control application.

Day-to-day traffic user equilibrium model considering influence of intelligent highways and advanced traveler information systems

To explore the influence of intelligent highways and advanced traveler information systems(ATIS)on path choice behavior,a day-to-day(DTD)traffic flow evolution model with information from intelligent highways and ATIS is proposed,whereby the network reliability and experiential learning theory are introduced into the decision process for the travelers’route choice.The intelligent highway serves all the travelers who drive on it,whereas ATIS serves vehicles equipped with information systems.Travelers who drive on intelligent highways or vehicles equipped with ATIS determine their trip routes based on real-time traffic information,whereas other travelers use both the road network conditions from the previous day and historical travel experience to choose a route.Both roadway capacity degradation and travel demand fluctuations are considered to demonstrate the uncertainties in the network.The theory of traffic network flow is developed to build a DTD model considering information from intelligent highway and ATIS.The fixed point theorem is adopted to investigate the equivalence,existence and stability of the proposed DTD model.Numerical examples illustrate that using a high confidence level and weight parameter for the traffic flow reduces the stability of the proposed model.The traffic flow reaches a steady state as travelers’routes shift with repetitive learning of road conditions.The proposed model can be used to formulate scientific traffic organization and diversion schemes during road expansion or reconstruction.

Architecture,application,and prospect of digital twin for highway infrastructure

The years we are experiencing are often identified as those of the age of digital technologies,where“digital”is commonly associated with intelligence,efficiency,and convenience.The emergence of digital technologies has significantly impacted and transformed various aspects of our society compared to the past.In this panorama,some arising questions regard transportation infrastructure systems and,first of all,highway infrastructure.This research focuses on one central issue:how highways fit into this digital revolution.Actually,the work in this paper can be described as follows.Although there are many different theoretical model systems for the architecture of the digital twin,we have chosen to review the main body of research on the digital twin in highway infrastructure based on a relatively well-established modeling framework,the five-dimensional model of the digital twin.After discussing the components of the digital twin for highway infrastructure's five-dimensional model,the paper reviews some innovative technologies that make these items effective.In addition to this,the digital twin maturity level of highway infrastructure and the MBSE-based(model-based systems engineering)digital twin model for highway are also discussed in this paper.Therefore,the paper provides a bird's eye view of this extremely dynamic technology for a new system of intelligent highways and discusses some of their criticalities and strengths,allowing for the optimization and development of new transportation functions and services,improving the adaptability of highways to the digital revolution.