The common cycle time for the linded signals is usually determined for the critical intersecion, just because the cpacity of a signalized intersection depends on the cycle time. This may not be optimal since the interactions between the flow and the spatial structure of the route or the area are disregarded in this case. It is common to separate the total delay incurred at signals into two parts, a deterministic or uniform delay and a stochastic or random delay. The deterministic delays and the stochastic delays on the artery particularly related to signal cycle time. For this purpose a microscopic simulation technique is used to evaluate deterministic delays, and a macroscopic simulation technique based on the principles of Markov chains is used to evaluate stochastic delays with over flow queue. As a result of investigating the relations between deterministic delays and cycle time in the various circumstances of spacing of signals and traffic volume. As for stochastic delays the resalts of comparisons of the macroscopic simulation and Newell's approximation with the microscopic simulation indicate that the former is valid for the degree of saturation less than 0.95 and the latter is for that above 0.95. Newell's argument that the total stochastic delay on an arterial is dominated by that at or caused by critical intersection is certified by the simulation experiments. The comprehensive analyses of the values of optimal cycle time with various conditions lead to a model. The cycle time determined by this model shows to be approximately 70% of that calculated by Webster's.

As for the travel demand analysis of the past, forcasting has been conducted by the use of revealed preference(RP) informations about actual or observed choices made by individuals. Forcasting method using RP data needs implicit assumptions that there will be no remarkable changes in existing transport conditions. However in case of occuring the great changes in existing conditions or adding a new choice-set of hypothetical options, it is very difficult to predict future travel demand. Fortunately in recent years, especially in the mode choice analysis, it has been perceived that the importance of individual performance data using stated preference(SP) experiments as well as RP data. But the research reports has not been reported sufficiently from models estimated using SP data. Under this background, we analyze the factors affecting the mode choice behavior as a fundamental study against the modelling task with SP choice data. For this analysis, we assumed subway operations in the secondary cities where there are no subway lines until now, and set up a choice-set of hypothetical options based on Experimental Design Method.

The purpose of this study is to analyse the changes in inter-regional accessibility according to the highway construction. Accessibility of the physical distance(APD), accessibility of the time distance(ATD) and accessibility of the weighted physical distance(AWPD), accessibility of the weighted time distance(AWTD) are used as accessibility index. The result shows that APD, ATD, AWPD and AWTD are improved in the Chechon, Sangju, Chomchon region by the construction of Chongju-Sangju Highway and Taegu-Chunchon Highway. Taechon, Sosan, Kunsan region also improved by the construction of Sohaean Highway and Konju-Sohaean Highway.

The change of industrial structure, the expansion of economic scale, the elevation of national life level and rapid motorization bring about social problems that are traffic accident, traffic congestion, etc. Especially, big traffic accidents bring about the great number of dead and wounded person with damage of property. But there are no study results available mainly focused on the big traffic accident analysis. Accordingly, this study is essentially for the factor analysis of big accident types including laws violation and the assaulting driver's death using Quantification ll method.

지난 수십년간 수많은 신호교차로제어모형이 제시되어 왔으나 과포화교차로를 특별히 다루는 기법은 거의 없었다. 본고에서는 과포화상태의 신호교차로제어를 위한 최적화모형이 제시된다. 지체도최소화나 연동폭최대화가 전통적인 제어목표로 사용되어 왔으나 혼잡교차로 제어에는 생산성최대화(maximum productivity)가 적절하며 본 모형에 사용되었다. 제시된 최적화모형은 Mixed Integer Linear Programming의 형태를 취한다. 본 모형은 두 개의 교차로 문제에 적용되었으며, 모형화 과정에 사용된 가정들의 적절함이 민감도분석에 의해 증명되었다. 최적해의 검증을 위하여 microscopic simulation model인 TRAF-NETSIM을 사용하였다.

The objective of this research is to develop a traffic accident forecasting model using traffic accident data in pusan from 1963 to 1991 and then to make short-term forecasts('93~'94) of traffic accidents in pusan. In this research, several forecasting models are developed. They include a multiple regression model, a time-series ARIMA model, a Logistic curve model, and a Gompertz curve model. Among them, the model which shows the most significance in forecasting accuracy is selected as the traffic accident forecasting model. The results of this research are as followings. 1. The existing model such as Smeed model which was developed for foreign countries shows only 47.8% explanation for traffic accident deaths in Korea. 2. A nonliner regression model ($R^2$=0.9432) and a Logistic curve model are appeared to be th gest forecasting models for the number of traffic accidents, and a Logistic curve model shows th most significance in predicting the accident deaths and injuries. 3. The forecasting figures of the traffic accidents in pusan are as followings: . In 1993, 31, 180 accidents are predicted to happen, and 430 persons are predicted to be deaths and 29, 680 persons are predicated to be injuries. . In 1994, 33, 710 accidents are predicted to happen, and 431.persons are predicted to be deat! and 30, 510 persons are predicted to be injuried. Therefore, preventive measures against traffic accidents are certainly required.

지방도로의 포장 및 확장사업으로 인한 지역개발효과를 분석하였다. 효과발생시 시기적 특성을 기준으로 할 때, 도로개선사업의 지역개발효과는 직접효과, 유발효과 및 간접효과 등 세가지의 유형으로 구분될 수 있다. 이들 각 유형의 효과가 각각 어떻게 발생되는가를 파악하기 위하여 본연구에서는 교통부문, 농업부문, 공업부문, 공공 서비스 부문, 주거부문 및 인문사회부문 등 6개부문에 대한 도로개선 사업의 효과를 분석하였다. 분석은 ADB 5차사업으로서 1983년에 공사를 시작하여 1985년에 사업이 완료된 밀양 및 하동지구를 그 대상으로 하였다. 도로개선사업의 효과가 사업종료 후 어느 시점에서부터 발생되는가를 관찰하기 위하여 효과분석을 위한 자료수집의 시점을 사업전 (1983년), 사업완료 직후(1986년) 그리고 사업완료 5년후(1992) 등 크게 세가지로 구분하였다. 1983년 및 1986년의 자료로는 건설부에서 조사한 자료들을 이용하였으며, 1992년의 자료는 현장조사와 해당군의 통계에서 수집된 자료를 이용하였다. 도로사업으로 인한 순효과를 측정하기 위하여 본 연구에서는 각 대상지역을 사업지구(Project Area)와 대조지구(Control Area) 로 구분하고 이들 각 지구에 대한 시점별 분석들 실시하였다.