In order to make stable data
-> When analysis trafficdata, in order to get the correct results
* Why outliers occur??
- Resting place
- Shoulder of the road parking
- Car trouble
- Traffic accident
Traffic Information Gathering System should accept traffic information automatically gathered by mechanical devices such as a detector, beacon, probe car, and so on delivered from traffic-related organizations or a traffic locale system. It should also accept the function of gathering system that manually processes CCTV image information, reported data, and other information such as construction,
traffic jam and weekday has more traffic jam and there are many literatures about this issue. In two hypotheses, independent variable is rain, and day of the week. Dependent variable is degrees of traffic jam. We choose the section to investigate, and used traffic statistics data in Seoul city’s highway traffic management center. We used weather data in the weather center, day of week data in c
traffic accident, damage amount of surrounding facility on the road, which is not damage amount of car and casualties, was specified as a response variable of the analysis.
Following is an analysis of factors that affect damage amount of facility on the road at the time of the accident
According to accident-related matters shown on the data collected by Korea Expressway Corporation (Jan., 02,
The evaluation based on
the barrier free Indicator
Grasp the point of problem
Suggest the simple way to improve facilities for traffic-vulnerable
Narrow concept of
traffic-vulnerable
“The Mobility Handicapped” by physical reasons when they use transportation
Broad concept of
traffic-vulnerable
“The transportation poor” by economic or social r
1. 개요
최근 텔레매틱스/ITS에서 이슈는 차량 및 운전자의 안전과 교통 흐름 개선을 위해 통신
기술의 요구사항을 만족할 수 있도록 하는 것이며, 그러한 요구사항에 만족할 수 있는
새로운 통신 기술의 적용이 차량 통신 네트워크이다. 차량 통신 네트워크는 그림1과 같이 차량간 통신망(V2V vehicle to
Car Following Model : 추종모형
1. 정의 : 뒤 차량은 앞 차량을 따른다고 가정하고, 이 한 쌍의 행태로부터 교통류 전체의 행태를 추론하는 이론이다. 추종차량은 자극의 크기에 비례하여 가, 감속한다. 또한, 뒤차의 반응은 앞차거리에 반비례하는 현상을 보인다. 추종모형은 Wiedemann74와 Wiedemann99로 구분할
1. 데이터 웨어하우스란?
정보기술의 발전으로 기업 및 기관들은 매일 수많은 양의 데이터들이 축적되고 있다. 이 많은 데이터들을 경영 활동에 유용한 정보로서 가치를 부여하는 것, 기업 및 기관들이 경쟁력 향상을 위하여 신속하고 정확한 의사결정을 할 수 있도록 지원해주는 시스템이 데이터 웨
NG Emission (Noxious Gas emission)
Produced by navigation
result from the combustion of fuel
The principal pollutants :
1) soot
2) particulate matter (PM), sulfur-rich fuels
The effect of NG emission
Local & Regional effect
Acid rain
Photochemical smog
human health (respiratory, asthma)
Global Effect
NG Regulat