A method to estimate traffic penetration rates of commercial floating car data using speed information

Floating Car Data (FCD) are being increasingly used as an alternative traffic data source due to its lower cost and high coverage area. FCD can be obtained by tracking vehicle trajectories individually or by processing multiple tracks anonymously to produce average speed information commercially. For commercial FCD, the spatio-temporal distribution of these vehicles in actual traffic, traffic Penetration Rate (PR) is the most important factor affecting the accuracy of speed estimations, despite the high number of registered vehicles feeding to an FCD provider, denoting the market PR. This study proposes a method for assessing the traffic PR of commercial FCD by evaluating its speed estimation quality compared to Ground Truth (GT) data. GT speed data were employed to generate different levels of traffic PR using Monte Carlo (MC) simulations, which resulted in the development of Quality-PR (Q-PR) relations for Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) as selected Measures of Effectiveness (MoE). Simulation-based FCD results at an urban road segment in Ankara (Turkey) showed that a quality of FCD with traffic PR of 15% or more would improve significantly. Use of the developed Q-PR relations suggested an approximately 5% traffic PR for the commercial FCD speeds at the location

Quality of Floating Car Data (FCD) as a Surrogate Measure for Urban Arterial Speed

Commercial floating car data (FCD) is being increasingly used as a traffic data source due to its lower cost despite concerns about its reliability. This paper focuses on the evaluation of FCD speed quality as a surrogate measure for arterial speed from different aspects. First, FCD speed is compared to video-based traffic data, collected from a specific urban road segment and assumed as ground truth in (a) descriptive evaluations, (b) speed estimation, and (c) level of service estimation. Regression analysis carried out to derive transformation function between two datasets showed a nonlinear relation with a high correlation coefficient of 0.82. Working with data along an urban corridor of 3.6 km also showed that despite some outliers, FCD was capable of detecting peak-hour queue formations as well as incident related ones. Use of transformation function on FCD speeds helped to increase its potential in urban traffic monitoring.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Accessibility Of Touristic Destinations From High Speed Rail Stations

International audienc

ASSESSING THE LINK BETWEEN RAIL TRANSIT USAGE AND MULTIMODAL INTEGRATION

Current planning literature considers rail transit usage a function of neighborhood design (ND) parameters (such as density, diversity and connectivity) around station areas at a micro-level. However, during the early development stages of a rail transit system in a city, integration with the other modes may be equally influential on the rail transit usage, which must be determined. For this purpose, ridership data of 14 rail transit stations were evaluated based on both i) ND design parameters and ii) multimodal integration (MMI) parameters, along two existing urban rail corridors in Ankara, Turkey. A principal component analysis, as a part of quantitative analysis, suggested MMI as one of the three main components. Statistical regression model results also showed a clear relation between the ridership and MMI, which was clearer along the metro corridor, which serves suburban regions.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

An assessment of the CO2 emissions reduction in high speed rail lines: Two case studies from Turkey

Transportation sector is one of the major emitters of greenhouse gases due to high consumption of fossil fuels in passenger and freight transportation. In recent years, high speed rail systems (HSR) have become an important policy option for intercity transportation in many countries, including Turkey, as they have relatively low emissions impact. Currently, the total HSR network in Turkey extends to 1213 km and connects 7 cities mostly located along a main HSR corridor. Annual ridership of the first two lines, Ankara-Eski ehir (ANK-ESK) and Ankara-Konya (ANK-KON), have reached almost 2 million passengers each, while total ridership in all four lines was about 3.5 million passengers in 2014. With the upcoming two new HSR lines, total length of HSR network will exceed 3000 km by 2020

Benefits of Managing the Capacity of Special Needs Shelters with Cross-County Collaboration

A significant task of planners involved in emergency disaster management is planning for the optimal assignment of people to emergency shelters. This complex task depends on the available infrastructure and roadway characteristics and can take on additional complexity when older populations are considered because their health conditions may deteriorate during a disaster. Older people may also require special assistance even though they are not listed in the registries of people with special needs. This paper specifically focuses on the assignment of older populations to shelters. The paper presents a spatial optimization methodology based on data from a geographic information system. The focus is on the segment of the population 85 years old and older and on the use of potential benefits of cross-county collaboration in special needs shelter (SpNS) management. Such collaboration can help in using additional shelter capacity between neighboring counties (a) to overcome the lack of capacity in a county and (b) to assign the demand to a close shelter across county borders. The methodology was applied to a case study of five counties in the Florida Panhandle. Because the SpNS demand for the 85+ age group was not known exactly, a sensitivity analysis was conducted for different demand levels. From an emergency management perspective, this type of cross-county utilization can provide a means to use existing regular shelters in multiple counties to serve the 85+ population