Freeway performance measurement system: mining loop detector data
C Chen, K Petty, A Skabardonis… - Transportation …, 2001 - journals.sagepub.com
Performance Measurement System (PeMS) is a freeway performance measurement system
for all of California. It processes 2 GB/day of 30-s loop detector data in real time to produce …
for all of California. It processes 2 GB/day of 30-s loop detector data in real time to produce …
Using high-resolution event-based data for traffic modeling and control: An overview
X Wu, HX Liu - Transportation research part C: emerging technologies, 2014 - Elsevier
Research on using high-resolution event-based data for traffic modeling and control is still at
early stage. In this paper, we provide a comprehensive overview on what has been …
early stage. In this paper, we provide a comprehensive overview on what has been …
Detecting errors and imputing missing data for single-loop surveillance systems
C Chen, J Kwon, J Rice… - Transportation …, 2003 - journals.sagepub.com
Single-loop detectors provide the most abundant source of traffic data in California, but loop
data samples are often missing or invalid. A method is described that detects bad data …
data samples are often missing or invalid. A method is described that detects bad data …
Traffic-incident detection-algorithm based on nonparametric regression
S Tang, H Gao - IEEE Transactions on Intelligent Transportation …, 2005 - ieeexplore.ieee.org
This paper proposes an improved nonparametric regression (INPR) algorithm for forecasting
traffic flows and its application in automatic detection of traffic incidents. The INPRA is …
traffic flows and its application in automatic detection of traffic incidents. The INPRA is …
[PDF][PDF] Faulty loop data analysis/correction and loop fault detection
Inductive Loops are widely used in California for traffic detection and monitoring. Extensive
studies have been conducted to improve loop detection system performance. This paper …
studies have been conducted to improve loop detection system performance. This paper …
Freeway accident likelihood prediction using a panel data analysis approach
The ability to predict freeway accident likelihood promises significant benefits to freeway
operations. However, the development of such prediction models has proven to be very …
operations. However, the development of such prediction models has proven to be very …
Loop detector data diagnostics based on conservation-of-vehicles principle
Inductive loop detectors are the most popular method for continuously collecting traffic data
over an extended period and over large spatial areas. These data are used in several …
over an extended period and over large spatial areas. These data are used in several …
Data–driven methodology for signal timing plan development: A computational approach
Traffic signal systems serve as one of the most powerful control tools available to improve
the efficiency of surface transportation travel. A large number of signal systems currently …
the efficiency of surface transportation travel. A large number of signal systems currently …
Calibration of vissim models for rural freeway lane closures: Novel approach to the modification of key parameters
NL Jehn, RE Turochy - Transportation Research Record, 2019 - journals.sagepub.com
The definition of freeway work zone capacity has been a topic of debate for several decades,
leaving agencies with limited guidance on predicting the behavior of traffic flow at given …
leaving agencies with limited guidance on predicting the behavior of traffic flow at given …