This paper presents a novel framework for combining traffic simulations and extended range telepresence. The real user’s position data can thus be used for validation and calibration of models of pedestrian dynamics, while the user experiences a high degree of immersion by interacting with agents in realistic simulations.

Traffic microscopic traffic simulation models have become extensively used in both transportation operations and management analyses, which are very useful in reflecting the dynamic nature of transportation system in a stochastic manner. As far as the microscopic traffic flow simulation users are concerned, the one of the major concerns would be the appropriate calibration of the simulation mod...

This paper proposed the model and algorithms for traffic data monitoring and signal timing optimization based on continuum traffic model and wireless sensor networks. Given the scenario that sensor nodes are sparsely installed along the segment between signalized intersections, an analytical model is built based on continuum traffic equations, and an adaptive interpolation method is proposed to...

1 Mixed traffic, characterized by diverse vehicles, changing composition, lack of lane discipline, etc. is best modeled 2 by micro simulation. However, the majority of the leading micro simulation packages and their calibration 3 methodologies have been developed considering less complex homogeneous traffic. Hence, a methodology for 4 calibrating a micro simulation model for mixed traffic is pr...

This paper presents a hybrid control scheme for the aircraft automatic landing system. PID control law is adopted in the controller design. Disturbance adaptive capability is demonstrated through hardware in the loop simulations. The control scheme uses PID controller with evolutionary computation technique. Control gains are selected by real-valued genetic algorithms. Different crossover metho...

The fundamental goal of this research is to assess the value of intelligent transportation systems to test the hypothesis that the use of vehicleto-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication technologies and protocols can significantly alleviate traffic congestion, and reduce fuel consumption and emissions from mobile sources. Microscopic traffic simulation modeling using t...

46 Under connected vehicle environment, vehicles are able to communicate and exchange detailed 47 information such as speed, acceleration, and position in real time. Such information is important 48 for improving traffic safety. In the meantime, it allows vehicles to collaborate with each other, 49 which may significantly improve traffic operations particularly at intersections and freeway 50 r...

Traffic simulation is an often used tool in the study of traffic systems. A traffic simulation model consists of several sub-models; each handles one specific task in the simulation. These sub-models include, among others, car-following. This model controls the interactions with the preceding vehicle in the same lane. This paper compares and describes the car-following models used in the four t...

Traffic simulation models have been extensively used because of their ability to model the dynamic stochastic nature of transportation systems. Parameter calibration is very complex and does not give optimal results easily. Besides, it is also time-consuming especially for large and complex networks. Initially, the procedure of traffic micro-simulation parameter calibration was put forward. A V...