6 Sponsoring Committee: AHB45: Traffic Flow Theory and Characteristics 7 Co-Sponsoring Committee: ABJ80: Statistical Methods 8 9 10 11 Authors: 12 13 Dwayne Henclewood, Ph.D. 14 Senior Consultant, Booz Allen Hamilton 15 [email protected] 16 17 Wonho Suh, Ph.D.* 18 Research Engineer, Georgia Institute of Technology 19 [email protected] 20 21 Michael O. Rodgers, Ph.D. 22 Adjunct Pro...

Computer traffic simulation is important for making new traffic control and traffic guidance strategies. Microscopic traffic simulators can model traffic flow in a realistic manner. In this paper, a framework of a microscopic urban traffic simulator based on Multi-Agent System is introduced. The traffic light control agent and the vehicledriver agent, which are the most important agents, are de...

This paper introduces a hybrid genetic algorithm-microscopic traffic simulation methodology for scheduling of pavement maintenance activities involving lane closures aiming to minimize network traffic delay. Genetic algorithm is implemented as an optimization tool for the generation and selection of maintenance schedules. For each possible schedule, a microscopic traffic simulation model is use...

In recent years, modelling crowd and evacuation dynamics has become very important, with increasing huge numbers of people gathering around the world for many reasons and events. The fact that our global population grows dramatically every year and the current public transport systems are able to transport large amounts of people heightens the risk of crowd panic or crush. Pedestrian models are...

Various methods of predicting the deformation of fine-scale cloth from coarser resolutions have been explored. However, the influence of fine-scale deformation has not been considered in coarse-scale simulations. Thus, the simulation of highly nonhomogeneous detailed cloth is prone to large errors. We introduce an effective method to simulate cloth made of nonhomogeneous, anisotropic materials....

Simulation modeling is an increasingly popular and effective tool for analyzing transportation problems, which are not amendable to study by other means. We examine the need for parallel or distributed simulation approaches from the need for computational speed-ups, availability of options towards that, and then at the need to distribute the effort to develop network simulation contexts and dat...

Emissions by road traffic can be reduced by optimising traffic control. The impact of this optimisation on emission can be analysed ex ante by simulation. The simulation programs used for this analysis should be valid with respect to the traffic characteristics that determine the emissions. Thus calibration of the parameters is a prerequisite. In most cases, volumes, travel times and queues are...

In this paper a modeling framework for urban traffic systems (UTS) is presented. The model, used for agent based microsimulation, describes both the traffic network and dynamic entities, namely vehicles, traffic lights, and pedestrians. The framework allows defining systematically the necessary components and their behavior of a model oriented to event driven simulation, which can be executed i...

Computer traffic simulation is important for making new traffic-control strategies. Microscopic traffic simulators can model traffic flow in a realistic manner and are ideal for agent-based vehicle control. In this paper we describe a model of a reactive agent that is used to control a simulated vehicle. The agent is capable of tactical-level driving and has different driving styles. To ensure ...

While a transitway can be built as an access-controlled, two-way rapid transit facility outside the Central Business District (CBD), in the CBD, initially, the Bus Rapid Transit (BRT) service has to be based on exclusive bus lanes due to right-of-way, monetary, and other constraints. The strategy of providing Bus Rapid Transit on exclusive bus lanes in urban corridors is receiving policy attent...