The control of car following is essential due to its safety and its operational efficiency. For this purpose, this paper builds a model of car following behavior based on ARMAX structure from a real traffic dataset and design a Model Predictive Control (MPC) system. Based on the relative distance and relative acceleration of each instant, the MPC predicts the future behavior of the leader vehic...

Designing and optimizing traffic behavior and animation is a challenging problem of interest to virtual environment content generation and to urban planning and design. While some traffic simulation methods have appeared in computer graphics, most related systems focus on the design of buildings, roads, or cities but without explicitly considering urban traffic. To our knowledge, our work provi...

We review recent results on traffic instabilities. An innovative approach to traffic dynamics is proposed. The self-organized oscillatory and chaotic behavior of traffic flow are identified and formulated. The results agree with the empirical findings for freeway traffic and with the previous numerical simulations. Thus the work gives a justification for observed and simulated traffic instabili...

Most traffic simulation frameworks use sophisticated models to conceptualize human factors in traffic environments. In this work we want to find out in how far these approaches comply with models from human factor psychology—clearly the most advanced discipline, when it comes to the conceptualization of human behavior. Thus, we analyze common psychological models for human driver behavior and c...

We demonstrate that Ethernet local area network (LAN) traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal behavior, that such behavior has serious implications for the design, control, and analysis of high-speed, cell-based (B-ISDN) networks, and that aggregating streams of such traffic typically intensifies the selfsimilarity ("b...

Self-organizing traffic jams are known to occur in medium-to-high density traffic flows and it is suspected that ACC algorithms may affect their onset in mixed human-ACC traffic flows. Unfortunately, closed-form solutions that predict the statistical occurrence of these jams in mixed traffic do not exist. In this paper, a closed form solution that explains the impact of adaptive cruise control ...

Large number of taxicabs in major metropolitan cities are now 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 as reliable sensors to monitor the behavior of traffic. In this paper we use GPS data from taxis to monitor the emergence of unexpected behavior in the Beijing metropolitan area. We adapt likelihood ...

Hybrid traffic modeling and simulation provide an important way to represent and evaluate large-scale traffic networks at different levels of details. The first level, called “microscopic” allows the description of individual vehicles and their interactions as well as the study of driver’s individual behavior. The second, based on the analogy with fluidic dynamic, is the “macroscopic” one and p...

The rise in popularity of the Internet, and specially the World Web Wide, has resulted in the web browser becoming the most commonly used Internet application. This popularity has driven the increase in multimedia applications with streaming audio and video players becoming almost ubiquitous. These audio and video traffics represent a new class of Internet traffic, which will increase with intr...