https://pure.uva.nl/ws/files/2689261/169585_494940.pdf

Accessibility and transit-oriented development in European metropolitan areas

Use of random forests regression for predicting IRI of asphalt pavements

We propose a walking distance estimation method based on an adaptive step-length estimator at various walking speeds using a smartphone. First, we apply a fast Fourier transform (FFT)-based smoother on the acceleration data collected by the smartphone to remove the interference signals. Then, we analyze these data using a set of step-detection rules in order to detect walking steps. Using an adaptive estimator, which is based on a model of average step speed, we accurately obtain the walking step length. To evaluate the accuracy of the proposed method, we examine the distance estimation for four different distances and three speed levels. The experimental results show that the proposed method significantly outperforms conventional estimation methods in terms of accuracy.

https://www.mdpi.com/1424-8220/16/9/1423/pdf

Step-Detection and Adaptive Step-Length Estimation for Pedestrian Dead-Reckoning at Various Walking Speeds Using a Smartphone

An ANN model to correlate roughness and structural performance in asphalt pavements

Limited research has been conducted on the application of data analytics to the prediction of the Pavement Condition Index (PCI) of asphalt roads More importantly, studies comparing the pr

Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling

Speed Distribution Curves for Pedestrians During Walking and Crossing

The present study demonstrates the relationships between pavement roughness and distress parameters like potholes, raveling, rut depth, cracked areas, and patch work. The pavement distress data collected on four national highways in India using a network survey vehicle (NSV) are used to develop linear and nonlinear regression models between roughness and distress parameters. Analysis of variance of these models indicated that nonlinear relation is better than a linear model. R2 value, root mean square error (RMSE), and mean absolute relative error (MARE) also supported nonlinear models. An artificial neural network (ANN), which is an advanced technique of modeling, is also used in the present study to model pavement roughness with distress parameters. A network with five input nodes, 15 hidden nodes, and one output node is considered. The network was trained with 90% of the data and tested with remaining 10% data. Results of R2 and MSE showed that the neural network performed highly significantly ...

Relationship between Pavement Roughness and Distress Parameters for Indian Highways

The present study demonstrates the application and usefulness of travel time reliability as a level of service (LOS) measure for urban arterial and inter-urban highway corridors on Indian roads. For travel time estimation, automatic vehicle license plate number data were collected through TrafficMon system. This system is a fully video-based enforcement system designed to measure the speed of vehicles passing in view of the camera, and read the vehicular license plate number. This system was implemented at the entry and exit side of the identified three study corridors and data were collected during morning and evening peak periods. The data were analysed and various travel time reliability measures were evaluated. The study also attempts to correlate reliability measures such as planning time (PT), buffer time (BT), planning time index (PTI) and buffer time index (BTI) with volume-to-capacity ratio which is the most widely used LOS measure for Indian roads. Analysis of results indicated that at LOS B the travel time of intercity highway was 40–46 sec/km, whereas it was 64–80 sec/km and 75–135 sec/km for urban uninterrupted and interrupted corridors respectively. The planning time for LOS B was more on urban arterial corridors when compared to inter-urban corridor for the same width of the carriageway. The upper limits of LOS B for PT were 132 sec/km and 63 sec/km for uninterrupted urban corridor and intercity highway corridor respectively. Other parameters of reliability like PTI and BTI were also evaluated and their values for different ranges of volume-capacity ratio were presented for identified corridors.

Travel Time Reliability as a Level of Service Measure for Urban and Inter-Urban Corridors in India

Modeling travel time of car with varying demand on an urban midblock section

Pavement serviceability is the concept representing the levels of service that pavement structure offers to road users. This indicator first appeared as a rating made by users with respect to the state of the road, particularly the road surface. The Present Serviceability Rating (PSR) is a subjective index primarily based on experts' rating scale for different sections of road pavement featuring different states of distress. Modeling the relationships between PSR and International Roughness Index (IRI) are useful for efficient pavement management systems. This paper demonstrates the relationship between PSR and IRI data collected on different kilometers of national highways in India. A predictive model is developed between PSR and IRI by using statistical modeling techniques and advanced methods, such as artificial neural network (ANN). Finally, comparative analysis is made between different models. The results show that predicted values of PSR from developed models have good correlation with observed values of PSR. Also, the results are valid for all types of flexible pavements and independent of traffic load. ANN is also used to model PSR with IRI, and statistical and ANN models are found equally good.. Exponential and logarithmic models are the best fit models with R² value 0.891 and 0.890 respectively.

Anish Kumar Bharti

Papers

Speed Distribution Curves for Pedestrians During Walking and Crossing

Relationship between Pavement Roughness and Distress Parameters for Indian Highways

Travel Time Reliability as a Level of Service Measure for Urban and Inter-Urban Corridors in India

Modeling travel time of car with varying demand on an urban midblock section

Relation between pavement serviceability and roughness for flexible pavement