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...

The cell transmission model of a freeway is used to compare four congestion-reducing schemes: (R) ramp control only; (T) one lane is tolled and ramps are uncontrolled; (B) bottlenecks are tolled and ramps are uncontrolled; and (RB) ramps are controlled and bottlenecks are tolled. In the base case, ramps are uncontrolled and there are no tolls. It is found that (T) is inefficient and may leave a...

In this paper we present a hybrid systems approach to freeway traffic control. We introduce a model of traffic which includes both vehicles and voids, where a void is a unit of space greater than the normal following distance between vehicles. The introduction of voids allows us to successfully model traffic flow via a wave model. We discuss the fundamentals of the Multiple Agent Hybrid Control...

This paper proposes a neural network that fuses the data received from camera system on gantry to detect moving objects and calculate relative position velocity of vehicles traveling freeway. information is used estimate traffic flow. To flows at both microscopic macroscopic levels, this YOLO v4 DeepSORT for vehicle detection tracking. The number passing freeway was then calculated by drawing v...

Traffic incidents cause approximately 50 percent of freeway congestion in metropolitan areas, resulting in extra travel time and fuel cost. Quantifying incident-induced delay (IID) will help people better understand the real costs of incidents, maximize the benefit-to-cost-ratio of investments in incident remedy actions, and facilitate the development of active traffic management and integrated...

BACKGROUND Whether local exposure to major roadways adversely affects lung-function growth during the period of rapid lung development that takes place between 10 and 18 years of age is unknown. This study investigated the association between residential exposure to traffic and 8-year lung-function growth. METHODS In this prospective study, 3677 children (mean age 10 years [SD 0.44]) particip...

Ramp metering has been broadly accepted and deployed as an effective countermeasure against both recurrent and non-recurrent congestion on freeways. However, many current ramp metering algorithms tend to improve only freeway travels using local detectors' inputs and overlook the negative impacts on local streets. This may generate two problems: 1) the optimal local settings may not result in a ...