Traffic simulation models are helpful or even indispensable while planning or managing an evacuation. A multitude of dynamic traffic models have been developed to this end to understand and predict evacuation conditions on a road network, and the effect of traffic regulations and control measures hereon. In many earlier studies, evacuation is recognized as a special case regarding different tra...

Traffic simulations in current open world video games and driving simulators are still limited with respect to the complexity of the behavior of simulated agents. These limitations are typically due to scarce computational resources, but also to the applied methodologies. We suggest adding cognitive components to traffic agents in order to achieve more realistic behavior, such as opting for ris...

As it is getting easier to obtain reams of data on human behavior via ubiquitous devices, it is becoming obvious that we must work on two conflicting research directions for realizing multiagent-based social simulations; creating large-scale simulations and elaborating fine-scale human behavior models. The challenge in this paper is to achieve massively urban traffic simulations with fine-grain...

The increasing availability of large-scale trajectory data provides us great opportunity to explore them for knowledge discovery in transportation systems using advanced data mining techniques. Nowadays, large number of taxicabs in major metropolitan cities are equipped with a GPS device. Since taxis are on the road nearly twenty four hours a day (with drivers changing shifts), they can now act...

CCTV-based behavior recognition systems have gained considerable attention in recent years in the transportation surveillance domain for identifying unusual patterns, such as traffic jams, accidents, dangerous driving and other abnormal behaviors. In this paper, a novel approach for traffic behavior modeling is presented for video-based road surveillance. The proposed system combines the pachin...

Recently, heavy-traffic theory has been applied for understanding behavior of delay in switches. The next section explains the heavy traffic scaling. With some toy examples, it discusses how Brownian motion arises in delay analysis and the idea of state-space collapse. Section 2 defines a switch and sketches a standard method for its stability analysis using the fluid scaling. For fluid scaling...

Traffic jams are reality in many cities and the current ways to deal with the problem always incur costs for citizens. This paper aims to understand the traffic behavior in a regular grid and in a real world network, with uniform and non-uniform demands and different demand loads. To analyze traffic flow, two metrics are used: waiting vehicles and the correlation ratio between the edge occupati...

This paper identifies the structural properties of RealAudio traffic and develops an application-level model based on trace analysis and simulation studies. RealAudio traffic is quite different from web traffic and constant bit rate traffic, models commonly used for Internet and multimedia traffic respectively today. We demonstrate that RealAudio has rich behavior across a range of time scales,...