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Traffic data are the prerequisite and foundation of management and control for traffic flow. Because of the absence and abnormity of field vehicle detector data, four approaches for data screening were designed under considering the influence of interval of sampling and the inherent relationship between traffic three parameters including preliminary screening, threshold screening, traffic theory screening...
Traffic jam is one of the big and complex problems which happens in many big cities around the world. The advances in technology have enabled tracking moving objects such as vehicles move on road networks. Those data is called spatio-temporal data. By using data mining techniques, analysis on traffic characteristics can be conducted to detect potential area of traffic jam. This information is particularly...
Telematics typically utilizes vehicle detectors and Global Positioning System (GPS)-based vehicle probes to compute the speeds of vehicles. When the detectors and the GPS probes are not available, vehicle speeds can be estimated by the cellular floating vehicle data technique, where the telecom network needs to spend extra effort to identify specific users and track their movements. This paper proposes...
According to the travel time estimation problems in the urban road traffic flow, two travel time estimation models are presented in this paper. The velocity model is based on the average velocity of vehicles at the adjacent monitoring points, and the retention time model is based on the free driving time and the residence time used in road between two adjacent monitoring points. The models are validated...
We present the real-world test of the SPECIALIST algorithm in which dynamic speed limits were used to resolve shock waves on freeways. The real-world test was performed in the period September 2009-February 2010 on a 14 km long stretch on the Dutch A12 freeway. For the evaluation of the algorithm various performance measures were determined for each activation of the speed limits. The results show...
Adaptive Traffic Control Systems (ATCS) aim at the improvement of traffic flow in terms of delay, number of stops, travel time etc. in urban networks under the regime of traffic signal control. Well known ATCS are SCOOT, SCATS, BALANCE and MOTION to name only a few. Lately the Cell Transmission Model (CTM) attracted some attention in the context of traffic signal control. It can be used to model the...
Understanding the benefit of ramp metering facilities before they are built is an important task in the planning process. Hence, we propose a simple ex-ante evaluation that requires only a limited amount of data. Designed to be used by road authorities to check and justify the necessity of new ramp metering facilities, the proposed ex-ante (lat. for “before the event”) method uses traffic flow and...
The green ratio model of Webster ignores the difference of traffic flow in different traffic state. The paper introduces an idea of traffic priority. It deals out more green time for the phase which has the highest traffic demand in oversaturated traffic, so as to prevent and clear off the crowded traffic flow as soon as possible. Each phase gets the priority by turns, so the improved green ratio...
Dynamic signal control is considered an effective measure to deal with urban traffic congestion by increasing intersection capacity and decreasing delays at the same time. A hierarchical fuzzy logic controller for urban signalized intersections is developed in this paper. The controller is designed to be responsive to real-time traffic intensities. Vehicle detectors are placed upstream of the intersection...
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