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Intelligent Transportation System (ITS) is integral towards envisioning a truly mobile and digital India. While existing solutions like smart vehicles and autonomous driving are inapplicable for Indian cities, transport surveys in India have provided offline solutions through GPS data. Without analytical formulations, they are prone to failure in ever-changing Indian urban landscape. This paper addresses...
To realize information system for reducing the traffic congestion, it is important to analyze the relationship between traffic congestion and route choice decision of each mobile object. In this paper, we show the characteristics of density clusters including percolation threshold in connection with route choice decision from analysis of simulation results on 100 × 100 non-diluted periodical square...
In recent years, studies on network theory have attracted a growing attention, especially, it has become a hot issue to combine the theoretical approach of network with the practical problems. In this paper, we present a new weighted model for public transport network based on network efficiency. Distinguishing from traditional network analysis method, this model considers comprehensively the impact...
With the development of the country, the number of private car is increased rapidly, so as to the traffic problem. During the traffic jam, the bus-cluster phenomenon that the same number of bus always come together. In this article, the algorithm of the bus-cluster phenomenon has been proposed, the proposed algorithm uses the traffic jam model and the bus arrival time predict model, it analyzes the...
Petri nets (PNs) are well utilized as a visual and mathematical formalism to model discrete-event systems. This paper uses deterministic and stochastic PNs to design an emergency traffic-light control system for intersections providing emergency response to deal with accidents. According to blocked crossing sections, as depicted by dynamic PN models, the corresponding emergency traffic-light strategies...
This paper reviews the traffic flow lattice model for road vehicle traffic flow, and describes its advantages and disadvantages; based on the research carried out by the authors, discusses the reality conformity of some model assumptions and puts forward some new insights and views.
In the modern society, we have overflows of pedestrians in public spaces such as stations, sidewalks, and so on, resulting in congestion problems. Since delay from congestion caused by congestion yields economic and social loss, and pedestrians' mental distress, it is quite urgent to ease congestion. In this paper, a pedestrian movement model is proposed for the purpose of identifying the source of...
As the increasing numbers of the traffic flow in the roundabout, non-traffic-light control, the traditional way of controlling, has been replaced since traffic congestion easily happens without red-green light. Therefore, the accuracy and quick design of the traffic light time is one of the hot spots in the traffic system. The optimal change interval design for the roundabout has been studied when...
The realization of the Intelligent Transportation Systems will effectively solve the problem of traffic congestion and urban traffic pollution, improve the road capacity and traffic safety. A crucial key of the realization of the ITS is the estimate and prediction of travel time: how to make and continuously update prediction of travel time for several minutes into the future using real-time data...
To urban transportation management, it is valuable to obtain the whole road network traffic state, while most existing traffic analysis methods pay little attention to this problem. This paper proposes a method to analyze spatial pattern of road network traffic state, which describes traffic characteristic from network level. Above all, we treat traffic data as road link's attribution and establish...
As an important measure of traffic demand management, congestion pricing can guide and regulate traffic flow to achieve the purpose of easing the traffic congestion. Therefore, it has been paid more and more attention of scholars. Congestion pricing methods are the core and foundation of congestion pricing theory, and the rationality of the pricing model is directly related to the scientific congestion...
In order to represent the fuzzy attribute of traffic state, this paper first analyzed the characteristics and spread mechanism of traffic congestion on urban road network. Then a traffic state coefficient was introduced to measure the congestion level on road sections. On the basis of cloud theory, a fuzzy method of traffic state identification was proposed. By constructing judgment matrix, an analytic...
Variable message signs (VMS) plays an important role in route guidance of drivers and release of traffic congestion. Response to VMS of drivers is acquired in stated preference (SP) investigation. Traffic demand is estimated and analyzed by Gravity and route choice models. Effects of VMS on route choice and traffic delay are simulated through VISSIM software in the case study of Beijing.
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