Korea Advanced Institute of Science and Technology · 工学
Professor Kitae Jang's research lab specializes in transportation systems engineering with a focus on traffic safety, urban mobility, and intelligent transportation systems. The lab investigates macroscopic traffic dynamics, pedestrian and vehicle crash patterns, signal control optimization, and the impact of environmental conditions—such as rainfall—on driving behavior. Key research directions include the development of macroscopic fundamental diagrams, safety analysis in high-occupancy vehicle facilities, and signal timing strategies to mitigate congestion and spillback in oversaturated networks.
Figures are computed from collected data and may differ slightly.
Macroscopic fundamental diagrams (MFDs), which relate the total time spent to the total distance traveled, are explored for freeway networks. It is proposed that these macrolevel relations should be observed if the data come from periods when all lanes on all links throughout the network are in either the congested or the uncongested regime. The theory pertains to freeway networks of any size, even when they are inhomogeneously congested and the data are variable in time. Analysis of vehicle tra
Pedestrian-involved crashes that occurred in the city of San Francisco, California, over 6 years from 2002 to 2007 were analyzed to evaluate two key aspects of pedestrian safety: occurrence and severity. This analysis was done to identify locations with frequent occurrences of pedestrian-involved crashes and to examine various risk factors for the injury severity of pedestrian-involved crashes. A geographical information system analysis for hot spot identification showed that the frequency of pe
This paper develops a signal optimization algorithm that aims to equalize queue growth rates across links in oversaturated urban roadway networks and thus postpones queue spillbacks that form at the localized sections of networks. The performance of this algorithm is evaluated by simulating traffic conditions with optimized signal settings on an idealized 3 by 3 roadway network under various oversaturated demand scenarios. The simulation experiments show that the algorithm can delay queue spillb
Collision data from high-occupancy-vehicle (HOV) facilities with two different types of access, continuous and limited, are examined in this paper. The findings show that HOV facilities with limited access offer no safety advantages over those with continuous access. Compared with continuous access HOV lanes, a higher percentage of collisions were concentrated on limited-access HOV lanes. Limited-access HOV lanes also had higher collision rates. Findings from investigating the relationship betwe
This research was an investigation of changes in driving behavior that occurs in response to rainfall intensity, especially focusing on risky behaviors. This was done using driving records of 620 taxis in Seoul (South Korea). We utilized driving volatility as a quantitative measure of driving behavior. This parameter indicates the variability of vehicle movement as indicated by vehicular acceleration and jerk. The result verified that, as the rainfall intensity increases, driving patterns deviat
Enhancing traffic safety can be achieved by impeding urban sprawl and encouraging compact development. On the other hand, policy tools reducing VMT may be less effective than anticipated for traffic safety.
Open papers in the app to read, cite, and organize with AI.