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 …
Estimating travel times and vehicle trajectories on freeways using dual loop detectors
B Coifman - Transportation Research Part A: Policy and Practice, 2002 - Elsevier
Recent research has investigated various means of measuring link travel times on freeways.
This search has been motivated in part by the fact that travel time is considered to be more …
This search has been motivated in part by the fact that travel time is considered to be more …
Urban link travel time estimation using large-scale taxi data with partial information
Taxicabs equipped with Global Positioning System (GPS) devices can serve as useful
probes for monitoring the traffic state in an urban area. This paper presents a new …
probes for monitoring the traffic state in an urban area. This paper presents a new …
Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments
D Lord, A Manar, A Vizioli - Accident Analysis & Prevention, 2005 - Elsevier
There has been considerable research conducted in recent years into establishing
relationships between crashes and various traffic flow characteristics for freeway segments …
relationships between crashes and various traffic flow characteristics for freeway segments …
Study on road traffic congestion: A review
Traffic congestion is one of the most visible, pervasive, and immediate transport problems
plaguing not only India's but also most of the cities of the world on a daily basis. It affects all …
plaguing not only India's but also most of the cities of the world on a daily basis. It affects all …
Lane-based real-time queue length estimation using license plate recognition data
License plate recognition (LPR) data are emerging data sources that provide rich
information in estimating the traffic conditions of urban arterials. While large-scale LPR …
information in estimating the traffic conditions of urban arterials. While large-scale LPR …
Wireless magnetic sensors for traffic surveillance
A Haoui, R Kavaler, P Varaiya - Transportation Research Part C: Emerging …, 2008 - Elsevier
Sensys Networks' VDS240 vehicle detection system is a wireless sensor network composed
of a collection of 3 ″by 3 ″by 2 ″sensor nodes put in the center of a lane and a 6 ″by 4 …
of a collection of 3 ″by 3 ″by 2 ″sensor nodes put in the center of a lane and a 6 ″by 4 …
Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates
F Dion, H Rakha - Transportation Research Part B: Methodological, 2006 - Elsevier
The paper describes a low-pass adaptive filtering algorithm for predicting average roadway
travel times using automatic vehicle identification (AVI) data. The algorithm is unique in three …
travel times using automatic vehicle identification (AVI) data. The algorithm is unique in three …
Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data
License-plate recognition (LPR) data are emerging data sources in urban transportation
systems which contain rich information. Large-scale LPR systems have seen rapid …
systems which contain rich information. Large-scale LPR systems have seen rapid …
[PDF][PDF] Adversarial classification under differential privacy
The last decade has seen a growing interest in adversarial classification, where an attacker
tries to mislead a classifier meant to detect anomalies. We study this problem in a setting …
tries to mislead a classifier meant to detect anomalies. We study this problem in a setting …