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Prediction of short-term traffic flow has become one of the major research fields in intelligent transportation systems. Accurately estimated traffic flow forecasts are important for operating effective and proactive traffic management systems in the context of dynamic traffic assignment. For predicting short-term traffic flows, recent traffic information(More)
This paper presents a study of mini-bus traffic accidents aimed at gaining insight into the factors affecting accident occurrence and severity. Understanding these factors can help to bring forth realistic strategies to improve the safety of these buses. Two disaggregate models related to the time until accident occurrence and the number of accident(More)
With increasing ownership of smartphones and membership of various social network services (SNS), new types of Advanced Traveler Information Systems (ATIS) has become available to travelers. The smartphone enables mobile users to input and access real-time information while SNSs provide voluntarily collected personal information among networks of friends.(More)
This work demonstrates the potential use of Google Street View (GSV) in engineering measurements. An investigation was conducted to assess the geopositioning accuracy of traffic signs extracted from GSV. A direct linear transformation (DLT) model is used to establish the relationship between the GSV image coordinate system and the ground coordinate system(More)
81 HIGHWAY VERTICAL ALIGNMENT is one of the important design features that affects highway safety, economy and aesthetics. In Canada and the United States, vertical alignments are designed as a series of straight segments (tangents) and parabolic curves. 1–3 However, since many existing highways were originally small roads that were built without following(More)
ABSTRACT Little research has been conducted to understand the difference in driving performance between younger-old adults (60-75 years) and older-old adults (76+ years), or simply younger olds and older olds. The main objective of this study was to determine if a minimal increase in road light level (luminance) differently affects the performance of these(More)
This study attempts to identify significant factors that affect the severity of drivers' injuries when colliding with trains at railroad-grade crossings by analyzing the individual-specific heterogeneity related to those factors over a period of 15 years. Both fixed-parameter and random-parameter ordered regression models were used to analyze records of all(More)