Enhancing Accuracy of Position and Distance Measurements for Connected Vehicles based on Modified Ap
Accurate positioning of vehicles is a critical element of autonomous and connected vehicle systems. Most of other studies heavily focused...
Estimation of Error Distribution for Multi-source Data without Ground Truth Data using Modified Appr
One of the challenges in measuring accuracy of multi-source data, before this study, is a requirement of ground truth data (or baseline...
A Challenge of Using Harmonic Mean as a Calculation of Space Mean Speed on a Fixed-segment: Proof of
Harmonic mean, which is the reciprocal of the arithmetic mean of the reciprocals of observations, is considered to be an appropriate...
Empirical Evaluation of the Accuracy of Technologies for Measuring Average Speed in Real Time
A federal mandate challenges states to acquire and to disseminate reliable travel time–speed information with limited sensor...
Expanding License Plate Matching Capabilities with Secondary Self-Learning Algorithm
To perform the postprocessing matching of license plates between two license plate recognition (LPR) stations, a self-learning matching...
Alternative Approach for Forecasting Parking Volumes
Parking is an issue at the forefront of transportation planning in the core of any urban area. As public and private sectors invest in...
Who produces the most CO2 emissions for trips in the Seoul metropolis area?
This study identifies the largest producers of CO2 emissions in the Seoul metropolis area, focusing on land-based passenger...
Incorporating Information Complexity into Regression-Based Freight Generation Model Selection
Freight transportation is vital to the growth of national economy and advancement of the wellbeing of America. The transportation...
A Gravity Model Using Spatial Correlation of Time Series Data for Freight Distribution Estimation: A
With an interdisciplinary nature of transportation studies, many transportation theories were adopted from physics, computer science,...
Enhancement to Self-learning License Plate Matching Algorithm: Starting Association Matrix
The self-learning license plate matching algorithm, which was developed by Oliveira-Neto et al. (2013), has been tested and proven...
A Dual Genetic Algorithm using Central Composite Design to Enhance Speed of Optimization for High Wo
The calibration of car-following models has received much attention in effort to reflect more realistic microscopic traffic simulations....
Enhancing License Plate Matching Algorithm: A New Evaluation Measurement and Threshold Determination
The process of license plate matching has continued to improve over the last decade, moving from manually intensive to automated. The...
The Impact of Narrow Lane on Safety of the Arterial Roads: Incorporating Akaike Information Criterio
This study investigates the impact of lane width on safety for urban arterial roads. The Generalized Linear Model with Negative Binomial...
Analysis of Spatial Influential Zone for Road Sign using the Variable Radius Buffer Model
Almost all Drivers who are not familiar with local areas usually rely on road signs equipped along the roadways. The road signs in Korea...
