2 edition of Optimal control of traffic flow at a conflict area in railway network found in the catalog.
Optimal control of traffic flow at a conflict area in railway network
T. K. Ho
Thesis (Ph.D) - University of Birmingham, School of Electronic and Electrical Engineering.
|Statement||by Tin Kin Ho.|
Downloadable (with restrictions)! Optimization models for railway traffic rescheduling tackle the problem of determining, in real-time, control actions to reducing the effect of disturbances in railway systems. In this field, mainly two research streams can be identified. On the one hand, train scheduling models are designed to include all conditions relevant to feasible and efficient. Downloadable (with restrictions)! Railway dispatchers reschedule trains in real-time in order to limit the propagation of disturbances and to regulate traffic in their respective dispatching areas by minimizing the deviation from the off-line timetable. However, the decisions taken in one area may influence the quality and even the feasibility of train schedules in the other areas.
traffic signals. At interrupted flow facilities, there are controlled access points such as traffic signals and uncontrolled access points such as stop signs which may interrupt the traffic flow. These access points cause the traffic to stop periodically or slow down significantly, irrespective of the volume of traffic. The traffic process of. The observer analyses traffic conditions on the whole area basing on actual traffic counts coming from the network and filtered statistical traffic characteristics, and predicts in real time the main routes which will be taken by private traffic and the flow levels (demand) at the origin of the predicted routes. The observer is based on a time.
Chapter 2-MEASUREMENT OF FLOW, SPEED, AND CONCENTRA-TION Introduction Measurements at a Point Measurements Along a Length Traffic Measurements by Moving Observer Method Summary of Traffic Measurements References Related Literature Problems Chapter 3-STATISTICAL DISTRIBUTIONS OF TRAFFIC CHARAC. Traffic Flow Prediction Based on Wavelet Analysis, Improved Genetic Algorithm, and BP Neural Network Chunxu Liu, Baichuan Lu and Jianfeng Wang pp. -
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Optimal control of traffic flow at a conflict area in railway network Author: A railway network may contain various kinds of track configurations. Some sections of tracks can be approached by traffic from two or more directions and there will be dispute as to the assignments of right of way.
when a train has been delayed for some reason. Optimal Traffic Control at Railway Junctions T.K. Ho J.P. Norton C.J. Goodman Abstract: Conflict occurs when two or more trains approach the same junction within a specified time. Such conflicts result in delays.
Current practices to assign the right of way at. In the second part of the book, the authors describe almost all the important achievements in the field. The final part of the book applies traffic-flow theory to solving traffic jams.
it will be a useful guide for students who want to make the jump into a fascinating area of research.” (Katsuhiro Nishinari, Physics Today, March, ). Rail Transport—Systems Approach.
Rail Transport—Systems Approach pp | Cite as. Dynamic Optimization of Railcar Traffic Volumes at Railway NodesCited by: 3. In the paper basic assumptions concerning traffic flow in a railway network are presented and under these assumptions a model of a railway network has been formulated.
Train movements across railway stations are still operated by human dispatchers. Motivated by an application provided by Azienda Trasporti Milanesi (ATM), the major Italian municipal transport company, we developed a real-time automated traffic control system to operate trains in metro stations.
The increase in traffic intensity and complexity of the railway system demands new methods for real-time traffic control. This paper introduces the architecture, the approach and the current. The increase in traffic intensity and complexity of the railway system demands new methods for real-time traffic control.
This paper introduces the architecture, the approach and the current implementation of an advanced Traffic Management System (TMS) able to optimise traffic fluency in large railway networks equipped with either fixed or moving block signalling systems. Traffic flow modeling and control using artificial neural networks IEEE Control Systems, Vol.
16, No. 5 The relationship between speed, flow and density of a highway traffic stream. Traffic flow is the study of interactions between travelers (including pedestrians, cyclists, drivers, and their vehicles) and infrastructure (including highways, signage, and traffic control devices), with the aim of understanding and developing an optimal transport network with efficient movement of traffic and minimal traffic congestion problems.
In the literature, distributed control methods have been applied to distributed control methods applied to railway traffic control problem, e.g. the distributed optimal control method based on. On the basis of the knowledge about traffic volumes on the different road sections, we propose a method, using Data Analysis Techniques, for a time - space analysis of traffic streams in an urban road network in view of either time (installation of a traffic control system by means of precalculated signal settings) or space (creating regulation.
The research activity deals with the development of innovative decision support systems for optimal railway traffic control in order to cope with real-time timetable disturbances, i.e., multiple.
Procedia - Social and Behavioral Sciences 54 () â€“ Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Program Committee doi: / EWGT 15th meeting of the EURO Working Group on Transportation Optimal aircraft traffic flow management at a terminal control area during.
() Some general models of traffic flow in an isolated network. Mathematical Methods in the Applied Sciences() Optimal control of scalar conservation laws by on/off-switching. Considering the complicated rail traffic environment in practice, we propose a set of sound operational strategies to excellently control traffic flow on rail network under various conditions.
The problem of traffic congestion in modern day motorways calls for the design and implementation of efficient control strategies. It is argued in this paper that in order to have efficient, generic, and systematic solutions to a wide range of traffic control problems, macroscopic motorway traffic flow models in state-space form, that are relevant for the control problem and computationally.
In the railway passenger travel network, the generalized cost of the path is the sum of all arcs belonging to this path. Define the arc weight (C, N), where C and N represent the generalized cost and the residual capacity of arc, particular, define the residual capacity of the boarding arc, stopping arc, transferring arc, and alighting arc N = ∞, the generalized cost of.
We address the problem of determining how to reroute aircraft in the air traffic control system when faced with dynamically changing weather conditions. The overall objective of this problem is the minimization of delay costs. This problem is of primary concern in the European air traffic control system and in particular regions within the US air traffic control system.
The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach. Dimitris Bertsimas, Sarah Stock Patterson; Dimitris Bertsimas, Optimal Traffic Flow Scheduling Using High-Performance Computing.
Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation. ments within a short period of time.
The traffic conflict analysis technique used in this study was field tested to determine the acceptability of the conflict defini tions, the practicality of the approach, and the accuracy of the results. A pro-cedures manual and instructor's guide are .engineers, trying to manage the traffic to minimise travel costs and therefore achieve an optimum social equilibrium.
(2) equilibrium flows in link a, travel time on link a, flow on path k connecting O-D pair r-s, trip rate between r and s. Example 1 To demonstrate how the most common assignment works, an example network is considered.
This.Modeling impacts of Cooperative Adaptive Cruise Control on mixed traffic flow in multi-lane freeway facilities Hao Liu, Xingan (David) Kan, Steven E.
Shladover, Xiao-Yun Lu, Robert E. .