<title>A<sc>bstract</sc> </title> Estimating missing values is known as data imputation. Previous research has shown that genetic algorithms (GAs) designed locally weighted regression (LWR) and time delay neural network (TDNN) models can generate more accurate hourly volume imputations for a period of 12 successive...

<title>A<sc>bstract</sc> </title> Highway and transportation agencies implement large-scale traffic monitoring programs to fulfill the planning, operation and management needs of highway systems. These monitoring programs typically use inductive loops as detectors to collect traffic data. Because of the harsh...

The presence of missing values is an important issue for traffic data programs. Previous studies indicate that a large percentage of permanent traffic counts (PTCs) from highway agencies have missing hourly volumes. These missing values make data analysis and usage difficult. A literature review...

Estimating missing values is known as data imputation. The proper imputation of missing values of permanent traffic counts (PTCs) could result in significant cost savings for highway agencies in their traffic data programs. However, little research has been done on missing values and only...

Research into advanced traveler information systems (ATIS) for rural roads is limited. However, highway agencies expect to implement intelligent transportation systems (ITS) in both urban and rural areas. In this paper, genetic algorithms (GAs) are used to design both time delay neural network...