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This paper presents an integrated model and its solution algorithm for freeway corridor control during incident management. With a parallel arterial as the detour route, the proposed model aims at producing the optimal diversion rates from the freeway mainline to relieve the congestion at the incident segment and concurrently adjust signal timings at the arterial intersections to best accommodate...
The traffic data collection system for floating car is composed of two important parts that are the car equipment and the monitoring system in the center. The hardware of car equipment is composed of ARM board, GPS module, GPRS communication module, memory card, power, USB interface, display interface, audio interface and so on. In the software system of car equipment, the methods for receiving GPS...
Recently, researches and developments in vehicle safety system has been intensively conducted. In the research field of intelligent transportation systems (ITS), various methods have been made to concern road signs, which can be automatically recognized by driver-support systems. Human characteristics are important factors of traffic accidents. However, research is only focused on the road signs,...
This paper presents a macroscopic model of traffic able to replicate the key features occurring at signalized intersections. Different from the previous link or movement based traffic flow models, the proposed model considers explicitly queue accumulation and dissipation at the lane-group level, in order to facilitate modeling the discharging process for shared lanes. In particular, the proposed model...
This paper proposes a variation-based online travel time prediction approach using clustered Neural Networks with traffic vectors extracted from raw detector data as the input variables. Different from previous studies, the proposed approach decomposes the corridor travel time into two parts: 1) the base term, which is predicted by a fuzzy membership-value-weighted average of the clustered historical...
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