Performance Comparison of AIMSUN2 and CORSIM for Congested and Uncongested Freeway Traffic Conditions

2013 ◽  
Author(s):  
Ghassan Abu-Lebdeh ◽  
Kamran Ahmed
Keyword(s):  
Performance Comparison ◽  
Freeway Traffic ◽  
Traffic Conditions

Analysis of Freeway Traffic Incident Conditions by Using Second-Order Spatiotemporal Traffic Performance Measures

2005 ◽  
Vol 1925 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Sherif Ishak ◽  
Ciprian Alecsandru
Keyword(s):  
Performance Measures ◽  
Second Order ◽  
Operating Conditions ◽  
Data Sets ◽  
Freeway Traffic ◽  
Contour Maps ◽  
Traffic Conditions ◽  
Statistical Measures ◽  
Study Results ◽  
Texture Characterization

The characteristics of preincident, postincident, and nonincident traffic conditions on freeways are investigated. The characteristics are defined by second-order statistical measures derived from spatiotemporal speed contour maps. Four performance measures are used to quantify properties such as smoothness, homogeneity, and randomness in traffic conditions in a manner similar to texture characterization of digital images. With real-world incident and traffic data sets, statistical analysis was conducted to seek distinctive characteristics of three groups of traffic operating conditions: preincident, postincident, and nonincident. The study results showed that the spatiotemporal characteristics of each of the three groups were not discernible. Although the distributions of performance measures within each group are statistically different, no consistent pattern was detected to imply that certain characteristics could increase the likelihood of incidents or identify precursory conditions to incidents.

Comparing Ease-of-Use of Steering Wheel-Mounted and Conventional Radio Controls

1988 ◽  
Vol 32 (10) ◽  
pp. 578-582
Author(s):  
Eugene Farber ◽  
Susan Salata
Keyword(s):  
Ease Of Use ◽  
Steering Wheel ◽  
Freeway Traffic ◽  
The Road ◽  
Traffic Conditions ◽  
Driver Performance

A study was conducted to compare driver performance with a limited set of steering wheel-mounted and conventional panel-mounted radio controls. The study was conducted with subjects driving under actual freeway traffic conditions. Drivers took less time to locate and use the wheel-mounted controls, had less eyes-off-the-road time and made fewer errors with them than with the conventional controls.

scholarly journals A Progressive Extended Kalman Filter Method for Freeway Traffic State Estimation Integrating Multisource Data

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Yingshun Liu ◽  
Shanglu He ◽  
Bin Ran ◽  
Yang Cheng
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Extended Kalman Filter ◽  
State Space Model ◽  
Heterogeneous Data ◽  
Filter Method ◽  
Multiple Sources ◽  
Freeway Traffic ◽  
Traffic Conditions ◽  
Kalman Filter Method

Variable techniques have been used to collect traffic data and estimate traffic conditions. In most cases, more than one technology is available. A legitimate need for research and application is how to use the heterogeneous data from multiple sources and provide reliable and consistent results. This paper aims to integrate the traffic features extracted from the wireless communication records and the measurements from the microwave sensors for the state estimation. A state-space model and a Progressive Extended Kalman Filter (PEKF) method are proposed. The results from the field test exhibit that the proposed method efficiently fuses the heterogeneous multisource data and adaptively tracks the variation of traffic conditions. The proposed method is satisfactory and promising for future development and implementation.

Evaluating Freeway Traffic Conditions by Data Envelopment Analysis Using Loop Data

2011 ◽  
Vol 181-182 ◽  
pp. 890-895
Author(s):  
Shen Zhang ◽  
Shi An
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Measures ◽  
Evaluation Method ◽  
Data Envelopment ◽  
Freeway Traffic ◽  
Traffic Conditions ◽  
Loop Detectors ◽  
Time Loop ◽  
Freeway Congestion ◽  
Insight Into

Effective evaluation of traffic conditions is a key issue involved in alleviating freeway congestion, improving operations and estimating travel time. Loop detectors can provide reliable traffic data sources for traffic conditions measurement and monitoring, however, the multiple influencing factors derived from loop data lead to a combined effect which complicates the measurement. Therefore, a novel traffic conditions evaluation method by utilizing Data Envelopment Analysis (DEA) is proposed. The method can devise an overall traffic conditions evaluation based on the multiple performance measures. To illustrate our method, an experimental study was undertaken with dual-loop-detector data from 6 freeway sections for the year 2006, and 5 measures were selected for inclusion in this multivariate analysis to evaluate the traffic conditions. The conclusions indicate the stakeholders can gain new insight into the overall traffic conditions behind multiple performance measures with our method, and the evaluation results is helpful in identifying transportation investment priorities for specific regions and improving resource utilization among competing sectors.

scholarly journals Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 5997
Author(s):  
Suhaib Alshayeb ◽  
Aleksandar Stevanovic ◽  
Nikola Mitrovic ◽  
Branislav Dimitrijevic
Keyword(s):  
Dynamic Pricing ◽  
Traffic Congestion ◽  
Sensor Failure ◽  
Freeway Traffic ◽  
Traffic Demand ◽  
Traffic Conditions ◽  
Toll Pricing ◽  
The Impact ◽  
Express Lanes

Express lanes (ELs) implementation is a proven strategy to deal with freeway traffic congestion. Dynamic toll pricing schemes effectively achieve reliable travel time on ELs. The primary inputs for the typical dynamic pricing algorithms are vehicular volumes and speeds derived from the data collected by sensors installed along the ELs. Thus, the operation of dynamic pricing critically depends on the accuracy of data collected by such traffic sensors. However, no previous research has been conducted to explicitly investigate the impact of sensor failures and erroneous sensors’ data on toll computations. This research fills this gap by examining the effects of sensor failure and faulty detection scenarios on ELs tolls calculated by a dynamic pricing algorithm. The paper’s methodology relies on applying the dynamic toll pricing algorithm implemented in the field and utilizing the fundamental speed-volume relationship to ‘simulate’ the sensors’ reported data. We implemented the methodology in a case study of ELs on Interstate-95 in Southeast Florida. The results have shown that the tolls increase when sensors erroneously report higher than actual traffic demand. Moreover, it has been found that the accuracy of individual sensors and the number of sensors utilized to estimate traffic conditions are critical for accurate toll calculations.

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