Journal ArticleDOI
Arterial Path-Level Travel-Time Estimation Using Machine-Learning Techniques
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TLDR
A methodology for travel-time prediction on urban arterial networks using data from global positioning system (GPS) probe vehicles, under Indian traffic conditions, is presented.Abstract:
This study presents a methodology for travel-time prediction on urban arterial networks using data from global positioning system (GPS) probe vehicles, under Indian traffic conditions. Give...read more
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Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps.
TL;DR: The new concept of consensual 3D speed maps allows the essence out of large amounts of link speed observations and reveals a global and previously mostly hidden picture of traffic dynamics at the whole city scale, which may be more regular and predictable than expected.
Journal ArticleDOI
Predicting Freeway Travel Time Using Multiple- Source Heterogeneous Data Integration
TL;DR: The Artificial Fish Swarm algorithm is applied to optimize the SVM model parameters, which include the kernel parameter σ, non-sensitive loss function parameter ε, and penalty parameter C, and the results show that the accuracy of the optimized S VM model is 17.27% and 16.44% higher than those of the BP neural network model and the common SVM models, respectively.
Multiscale Pattern Recognition of Transport Network Dynamics and its Applications : A bird’s eye view on transport
TL;DR: This thesis develops a series of efficient data-driven methods for extracting the mobility patterns of large-scale metropolitan networks and explores some of their applications.
Journal ArticleDOI
Machine Learning Applications in Surface Transportation Systems: A Literature Review
H. Behrooz,Yeganeh M. Hayeri +1 more
TL;DR: The root-cause analysis revealed a lack of effective collaboration between the ML and transportation experts, resulting in the most accessible transportation applications being used as a case study to test or enhance a given ML algorithm and not necessarily to enhance a mobility or safety issue.
Journal ArticleDOI
Numerical Stability of Conservation Equation for Bus Travel Time Prediction Using Automatic Vehicle Location Data
TL;DR: The performance of the proposed Advanced Time-Space Discterization (AdTSD) method was evaluated with real field data and compared with existing approaches and results show that AdTSD approach was able to perform better than historical average approach with an advantage up to 11% and 5% compared to Base Time Space Discretization (B TSD) approach.
References
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Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Classification and Regression by randomForest
Andy Liaw,Matthew C. Wiener +1 more
TL;DR: random forests are proposed, which add an additional layer of randomness to bagging and are robust against overfitting, and the randomForest package provides an R interface to the Fortran programs by Breiman and Cutler.
Journal ArticleDOI
OpenStreetMap: User-Generated Street Maps
Muki Haklay,Patrick Weber +1 more
TL;DR: The OpenStreetMap project is a knowledge collective that provides user-generated street maps that follow the peer production model that created Wikipedia; its aim is to create a set of map data that's free to use, editable, and licensed under new copyright schemes.
Journal ArticleDOI
Smoothing by spline functions. II
TL;DR: In this paper, the authors generalize the results of [4] and modify the algorithm presented there to obtain a better rate of convergence, which is the same as in this paper.
Book
Straightforward Statistics for the Behavioral Sciences
TL;DR: In this paper, the authors present a review of computer applications of statistics, including one-sample t statistic, two-way analysis of variance, and repeated-measures analysis for variance nonparametric tests.