Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data

Given the fact that the existing literature lacks the real-time estimation of road capacity and incident location using data from inductance loop detectors, a data-driven framework is proposed in this study for real-time incident detection, as well as road capacity and incident location estimation. The proposed algorithm for incident detection is developed based on the variation in traffic flow parameters acquired from inductance loop detectors. Threshold values of speed and occupancy are determined for incident detection based on the PeMS database. The detection of the incident is followed by the real-time road capacity and incident location estimation using a Cell Transmission Model (CTM) based approach. The data of several incidents were downloaded from PeMS and used for the development of the proposed framework presented in this study. Results show that the developed framework detects the incident and estimates the reduced capacity accurately. The location of the incident is estimated with an overall accuracy of 92.5%. The performance of the proposed framework can be further improved by incorporating the effect of the on-ramps, off-ramps, and high-occupancy lanes, as well as by modeling each lane separately.

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Joint structure for the real-time estimation and control of automotive dry clutch engagement

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.053 ◽

2018 ◽

Vol 51 (15) ◽

pp. 1062-1067 ◽

Cited By ~ 2

Author(s):

Mojtaba Sharifzadeh ◽

Mario Pisaturo ◽

Arash Farnam ◽

Adolfo Senatore

Keyword(s):

Real Time ◽

Time Estimation ◽

The Real ◽

Joint Structure ◽

Clutch Engagement ◽

Real Time Estimation ◽

Dry Clutch ◽

Estimation And Control ◽

And Control

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Real-Time Safety Evaluation for Slope during Construction Using Numerical Forecast and Sensor Monitoring Platform

Sensors ◽

10.3390/s18092978 ◽

2018 ◽

Vol 18 (9) ◽

pp. 2978 ◽

Cited By ~ 1

Author(s):

Sherong Zhang ◽

Dejun Hou ◽

Chao Wang ◽

Xuexing Cao ◽

Fenghua Zhang ◽

...

Keyword(s):

Numerical Model ◽

Real Time ◽

Evaluation System ◽

Large Scale ◽

Safety Evaluation ◽

The Real ◽

Study Results ◽

Data Feedback ◽

Numerical Forecast ◽

Slope Safety

Geology uncertainties and real-time construction modification induce an increase of construction risk for large-scale slope in hydraulic engineering. However, the real-time evaluation of slope safety during construction is still an unsettled issue for mapping large-scale slope hazards. In this study, the real-time safety evaluation method is proposed coupling a construction progress with numerical analysis of slope safety. New revealed geological information, excavation progress adjustment, and the support structures modification are updating into the slope safety information model-by-model restructuring. A dynamic connection mapping method between the slope restructuring model and the computable numerical model is illustrated. The numerical model can be generated rapidly and automatically in database. A real-time slope safety evaluation system is developed and its establishing method, prominent features, and application results are briefly introduced in this paper. In our system, the interpretation of potential slope risk is conducted coupling dynamic numerical forecast and monitoring data feedback. The real case study results in a comprehensive real-time safety evaluation application for large slope that illustrates the change of environmental factor and construction state over time.

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Adaptive Scheme for the Real-Time Estimation of Tire-Road Friction Coefficient and Vehicle Velocity

IEEE/ASME Transactions on Mechatronics ◽

10.1109/tmech.2017.2704606 ◽

2017 ◽

Vol 22 (4) ◽

pp. 1508-1518 ◽

Cited By ~ 25

Author(s):

Kyoungseok Han ◽

Eunjae Lee ◽

Mooryong Choi ◽

Seibum B. Choi

Keyword(s):

Friction Coefficient ◽

Real Time ◽

Time Estimation ◽

Adaptive Scheme ◽

The Real ◽

Vehicle Velocity ◽

Road Friction ◽

Real Time Estimation ◽

Road Friction Coefficient

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Estimation of Truck Traffic Volume from Single Loop Detectors with Lane-to-Lane Speed Correlation

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1856-11 ◽

2003 ◽

Vol 1856 (1) ◽

pp. 106-117 ◽

Cited By ~ 26

Author(s):

Jaimyoung Kwon ◽

Pravin Varaiya ◽

Alexander Skabardonis

Keyword(s):

Real Time ◽

Time Estimation ◽

The United States ◽

Truck Traffic ◽

Single Loop ◽

Loop Detectors ◽

Time Estimates ◽

Surveillance Technology ◽

Traffic Volumes ◽

Urban Freeway

An algorithm for real-time estimation of truck traffic in multilane freeways was proposed. The algorithm used data from single loop detectors—the most widely installed surveillance technology for urban freeways in the United States. The algorithm worked for those freeway locations that have a truck-free lane and exhibit high lane-to-lane speed correlation. These conditions are met by most urban freeway locations. The algorithm produced real-time estimates of the truck traffic volumes at the location. It also can be used to produce alternative estimates of the mean effective vehicle length, which can improve speed estimates from single loop detector data. The algorithm was tested with real freeway data and produced estimates of truck traffic volumes with only 5.7% error. It also captured the daily patterns of truck traffic and mean effective vehicle length. Applied to loop data on Interstate 710 near Long Beach, California, during the dockworkers’ lockout October 1 to 9, 2002, the algorithm found a 32% reduction in five-axle truck volume.

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A Technique for the Real-Time Estimation of Air-Fuel Ratio Using Molecular Weight Ratios

10.4271/900260 ◽

1990 ◽

Cited By ~ 12

Author(s):

Ronald S. Patrick ◽

J. David Powell

Keyword(s):

Molecular Weight ◽

Real Time ◽

Time Estimation ◽

The Real ◽

Fuel Ratio ◽

Real Time Estimation

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Modeling Technique of Prosthetic Heart Valves

Journal of Biomechanical Engineering ◽

10.1115/1.3138463 ◽

1984 ◽

Vol 106 (1) ◽

pp. 83-88 ◽

Cited By ~ 7

Author(s):

T. Kitamura ◽

T. Kijima ◽

H. Akashi

Keyword(s):

Real Time ◽

Heart Valves ◽

Time Estimation ◽

Modeling Technique ◽

Computational Time ◽

Prosthetic Heart Valves ◽

The Real ◽

Hemodynamic State ◽

Real Time Estimation

This paper demonstrates a modeling technique of prosthetic heart valves. In the modeling, a pumping cycle is divided into four phases, in which the state of the valve and flow is different. The pressure-flow relation across the valve is formulated separately in each phase. This technique is developed to build a mathematical model used in the real time estimation of the hemodynamic state under artificial heart pumping. The model built by this technique is simple enough for saving the computational time in the real time estimation. The model is described by the first-order ordinary differential equation with 12 parameters. These parameters can be uniquely determined beforehand from in-vitro experimental data. It is shown that the model can adapt, with sufficient accuracy, to a change in the practical pumping condition and the viscosity of the fluid in their practical range, and is also demonstrated that the estimated backflow volume by model agrees closely with the actual one.

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Real-Time Estimation of Disinfection By-Products through Differential UV Absorbance

Water ◽

10.3390/w12092536 ◽

2020 ◽

Vol 12 (9) ◽

pp. 2536

Author(s):

Guilherme Stéphanie ◽

Dorea Caetano

Keyword(s):

Water Treatment ◽

Real Time ◽

Distribution Systems ◽

Uv Light ◽

Time Estimation ◽

Uv Absorbance ◽

Water Treatment Plants ◽

Study Results ◽

Real Time Estimation ◽

By Products

Efforts to control of unwanted disinfection by-products (DBPs) can be hindered by the relatively low-frequency data that is generated from DBP monitoring for regulatory purposes. Differential UV absorbance (DUVA) has the potential to overcome some of these difficulties as a relatively simple and low-cost technique for the estimation of regulated DBPs (i.e., trihalomethanes, THMs, and haloacetic acids, HAAs). DUVA is based on the principle that differences in UV absorbance at specific wavelengths before and after chlorination can be correlated to DBP occurrence. This project sought to assess a lab-based protocol for the determination of a site-specific linear calibration curve for in situ real-time estimations of DBPs from DUVA measurement in water treatment plants (WTPs). A field spectrophotometer probe capable of high frequency scans within the UV light wavelength spectra with light paths of 100 mm was used. Models were developed to estimate DBP levels, at a scale representative of DUVA and DBP levels that actually occur in the WTP under study. Results showed that level of uncertainty on DBP levels estimation is relatively low (23% for HAAs and 32% for THMs). Although DBP estimations through DUVA are not of regulatory value, they can be used for real-time estimation of DBP levels to better inform operational decision making in water treatment plants and management of DBPs in distribution systems.

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CTM Based Real-Time Queue Length Estimation at Signalized Intersection

Mathematical Problems in Engineering ◽

10.1155/2015/328712 ◽

2015 ◽

Vol 2015 ◽

pp. 1-12 ◽

Cited By ~ 7

Author(s):

Shuzhi Zhao ◽

Shidong Liang ◽

Huasheng Liu ◽

Minghui Ma

Keyword(s):

Real Time ◽

Queue Length ◽

Urban Traffic ◽

Urban Transport ◽

Signalized Intersection ◽

Transmission Model ◽

Time Interval ◽

Short Time Interval ◽

Cell Transmission Model ◽

The Road

Queue length is an important index of the efficiency of urban transport system. The traditional approaches seem insufficient for the estimation of the queue length when the traffic state fluctuates greatly. In this paper, the problem is solved by introducing the Cell Transmission Model, a macroscopic traffic flow, to describe the vehicles aggregation and discharging process at a signalized intersection. To apply the model to urban traffic appropriately, some of its rules were improved accordingly. Besides, we can estimate the density of each cell of the road in a short time interval. We, first, identify the cell, where the tail of the queue is located. Then, we calculate the exact location of the rear of the queue. The models are evaluated by comparing the estimated maximum queue length and average queue length with the results of simulation calibrated by field data and testing of queue tail trajectories. The results show that the proposed model can estimate the maximum and average queue length, as well as the real-time queue length with satisfactory accuracy.

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