Intelligent Transportation System: Route Guidance, Driving Behavior, and Eco-driving

Abstract

There have been numerous modern technological advances that have changed life for many people. Transportation fields are evolving, too. This thesis suggests intelligent transportation systems (focused on general vehicles) using smart sensors, high-powered computers, and advanced communication technologies. This thesis divided into three parts. The first part is the study on route guidance systems. Existing general route guidance systems focused on shorter travel time and distance. However, it is not the most important element in deciding a route. Thus, this study aimed to quantify the quality of alternative routes by explicitly considering route travel time variability. The second part is the study on driving behaviors. This study aimed to propose a new index to capture drivers’ aggressiveness by analyzing inter-vehicular dynamics data and to demonstrate how the proposed index would work using real world driving behavior data obtained from four distinctive groups. The final part is the study on eco-driving. The proposed system in this study can offer a recommended speed to drivers and volume of traffic to traffic light control system. This can make an improved traffic environment. This system can reduce fuel consumption and CO2 emissions. ⓒ 2014 DGIST