Based on the review of the development situation of the ETC home and abroad and the ETC key technology, this paper put forward to apply ZigBee network in the freeway ETC system. CC2431 wireless location function is used in the high speed highway ETC system to realize data transmission between network centre node and terminal node safely, which records passing information of the vehicle terminal...

By introducing a new dynamical linearization technology, this paper presents a model-free adaptive control approach for density control of freeway traffic flow via ramp metering, which is consisted with a control input learning law and a parameter updating law. The design and analysis only depends on the I/O data of the freeway traffic system. Furthermore, the control input learning law is exte...

This report describes the enhancements to the video data collection of the Berkeley Highway Laboratory (BHL), a unique surveillance system on a section of I-80 freeway in the city of Emeryville. We also present the development of advanced machine vision algorithms to process the video data to generate vehicle trajectories. A pilot application of the BHL system produced trajectories of over 4700...

This paper studies the system optimum dynamic traffic assignment in a network consisting of a surface street grid and a congested freeway section. Vehicles can be diverted through off-ramps and on-ramps can be metered. The family of solutions are identified graphically using Newell’s queueing diagrams. Because enforcing diversion is still a technological puzzle, these results provide a benchmar...

In this note, we propose a case study of freeway traffic flow modeled as a hybrid system. We describe two general classes of networks that model flow along a freeway with merging onramps. The admission rate of traffic flow from each onramp is metered via a control input. Both classes of networks are easily scaled to accommodate arbitrary state dimension. The model is discrete-time and possesses...

ORESTE is an associated team between OPALE project-team at INRIA and the Mobile Millennium / Integrated Corridor Management (ICM) team at UC Berkeley focused on traffic management. With this project, we aim at processing GPS traffic data with up-to-date mathematical techniques to optimize traffic flows in corridors. More precisely, we seek for optimal reroute strategies to reduce freeway conges...

This article introduces a nested clustering technique and its application to the analysis of freeway operating condition. A clustering model is developed using the traffic data (flow, speed, occupancy) collected by the detectors and aggregated to 5-minute increments. An optimum fit of the statistical characteristics of the data set is provided by the model based on the Bayesian Information Crit...

In this contribution a micro-simulator for freeway traffic which is coupled to a stream of on-line data stemming from inductive loops is presented. In order to provide network-wide information about the current traffic state a cellular automaton traffic flow model is combined with the measured data. The framework is applied to the freeway network of North Rhine-Westphalia (NRW), where data from...