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Supposed the perception of traffic information and the controlling decision of vehicles are correct. The delay of controlling actions is researched in the paper, and the function of driver non-response probability is advanced. Based on the function, the timing curve of divers' response is made. Then the risk model of Rear-ends accidents is established to evaluate the probability of Rear-end accident,...
Recent development in IntelliDrive and associated Vehicular Ad Hoc Networks (VANET) has stimulated tremendous interests among decision-makers, practitioners, and researchers due to the potential safety and mobility benefits provided by these technologies. A primary concern regarding the deployment of IntelliDrive is degree of market penetration required for effectiveness. This paper proposes an approach...
This paper presents a filter that is able to simultaneously estimate the behaviors of traffic participants and anticipate their future trajectories. This is achieved by recognizing the type of situation derived from the local situational context, which subsumes all information relevant for the drivers decision making. By explicitly taking into account the interactions between vehicles, it achieves...
When considering the need for an intelligent transportation mode based upon the fact that car travel is still the consumer's first choice, we decided to explore the idea of collective taxis more fully. More precisely, we are seeking to provide an autonomous high quality door-to-door service, affordable by almost everyone, covering the entire urban area simply by allocating in an optimal way more than...
Vehicular area networks are prone to very fast topology changes and require support for multiple types of services. This leads to a requirement of strict guarantees for quality of services (QoS). Many real time or partial real time applications are bound to share the user information which may hurt privacy of the user. In critical scenarios where quick decision making is of high importance, users...
A Bayesian decision-theoretic decision-making framework for integrated vehicle safety systems is introduced. The framework tries to address the increasing need for introduction of optimal decision-making to integrated vehicle safety. The framework tries to capture all the interdependencies between systems in one optimisation problem by designing appropriate risk functions. This is achieved by incorporating...
This paper presents an object-oriented world model for the road traffic environment of autonomous (driver-less) city vehicles. The developed World Model is a software component of the autonomous vehicle's control system, which represents the vehicle's view of its road environment. Regardless whether the information is a priori known, obtained through on-board sensors, or through communication, the...
Increasing number of vehicles, lack of awareness among road users and many other causes are said to be linked to road accidents. However no specific literature was found to rank causes of road accidents based on fuzzy data of multi-criteria decision making. This paper proposes a ranking of five selected causes linked to road accidents. Types of vehicles involved in road accidents are considered as...
Vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management. In this paper we propose a novel and efficient algorithm based on image processing using aerial cameras for vehicle detection and classification especially in highways. The algorithm is mainly based on a sequence of morphological methods being applied on an...
Recent progress in grid computing concept and its allied application technologies has helped us to device an efficient tool for heavy workload management. Concept of this middleware technology supports to build more and more complex application which can process large real time data set. Mobilization of under utilized resources among the needy processes can easily be carried out with distributed grid...
Group decision-making (GD) is a fuzzy problem with high complexity and difficult to be handled. Usually the rule-based Group decision-making Support System (GDSS) is used to solve GD problem. But the definition of fuzzy rules and membership functions in GDSS are generally affected by subjective decision. So the rationality of GDSS is difficult to be judged. In this paper, the particle swarm optimization...
This work elaborates on the topic of decision making for driverless city vehicles, particularly focusing on the aspects on how to develop a reliable approach which meets the requirements of safe city traffic. Decision making in this context refers to the problem of identifying the most appropriate driving maneuver to be performed in a given traffic situation. The overall decision making problem is...
The rules of traffic accidents and their hazards in China are studied by virtue of MATLAB and the method of fuzzy mathematics. First, the general trend of linear increase and fluctuant character of the traffic accidents are found by observing the scatter graph of statistical data of traffic accidents in China, which represent a complex nonlinear combinatorial feature. Second, these data are processed...
Based on the development of Chinese Intelligent Integrate Transportation System, the paper show the method to Recognize the Regional and Urban Transportation State, which is the most important problem in Intelligent Integrate Transportation System, besides the problem face the planning and Decision-Making process. Then this paper introduces some good examples to do this work and give a major structure...
In Europe, the air transport contribution to the GDP is about 2.6%, while the surface transport represents 11% of GDP. In the Seventh Framework Programme for Research and Technological Development, one of the thematic area is dedicated to the transport systems, with a budget of 4180 million euro. The paper presents a multi-attribute decision model that could be applied to the management of the urban...
In this paper we present a decentralized urban road traffic control solution over a multiagent architecture. Based on the proposed architecture and real-time traffic information received from the traffic sensing system, we implemented local decision making at crossroad level, every crossroad traffic lights being controlled by one local agent. Finally, we present a case study for different urban traffic...
In recent years, the development of highway is very rapid, which lead the highway management has become increasingly complex. Meanwhile, the datas related to highway management are growing geometrically. Facing these massive datas, we are often asked this question "how to use these datas fully and find useful knowledge for decision-making". With the development of data warehouse and on-line...
Data-driven means the control and decision making is based on the state of the data. The data-drive urban traffic flow guidance system is a decision making system which is based on large amount of traffic flow data. This paper gives detailed discussion of data-drive urban traffic flow guidance system and performs qualitative analysis on the main components of this system, which includes the distribution...
To expand the scope of humans' perception for anticipative road following, a stochastic perception-control coupling is introduced on satellite-roadway-vehicle network. Based on the prediction of roadway pattern in the satellite image, maneuverable area is coded in terms of a fractal attractor confined by boundary probability in the image of observed scene. Random shift of the boundary probability...
Transportation management and planning has played an important role in urban planning. The paper discusses the success of using virtual reality (VR) technique in traffic simulation to communicate design alternatives to decision makers and public audiences and thus to support the decision making process. The study documents the application of VISSIM, a microscopic simulation model, VR4MAX, an interactive...
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