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Toward a class of link travel time functions for dynamic assignment models on signalized networks

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  • Rouphail, Nagui M.
  • Tarko, Andrzej
  • Boyce, David E.

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Schedule-Based Dynamic Assignment Models for Public Transport Networks

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dynamic assignment models on signalized networks

  • F. Russo 5  

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 28))

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1 Citations

In the sphere of transit assignment, the dynamic models approach is the focus of increasing interest, because of the importance of explicit system simulations to know user flow for each run and the performance of different service networks in terms of times and comfort levels, and to enable user decisions to be evaluated if ITS is used. Urban transit systems are characterised not only by day-to-day dynamics but also within-day dynamics. Thus the evaluation process has to be represented by means of the two relative processes (within-day and day-to-day). This paper reports some extension and review on the framework of the approach proposed by Nuzzolo and Russo (1998) and generalized in Nuzzolo et al. (2001, 2002), with the study of the different aspects of path choice — on the demand side — and of operating services — on the supply side — in relation to the different assignment models that can be useful.

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Department of Computer Science, Mathematics, Electronic and Transportation, “Mediterranea ”University of Reggio Calabria, Feo di Vito, Reggio Calabria, Italy

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Russo, F. (2004). Schedule-Based Dynamic Assignment Models for Public Transport Networks. In: Wilson, N.H.M., Nuzzolo, A. (eds) Schedule-Based Dynamic Transit Modeling: theory and applications. Operations Research/Computer Science Interfaces Series, vol 28. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6467-3_5

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IMAGES

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COMMENTS

  1. Dynamic user optimal route choice problem on a signalized

    A handful dynamic traffic assignment (DTA) models that are based on signalized transportation networks are simulation-based [38, 39] and implicit. "implicit" means signal parameters are included in the link travel time functions or queuing delay expressions but the queue length in red time and throughput in green for each and every cycle ...

  2. Dynamic Lane Assignment and Signal-Timing Collaborative Optimization

    Dynamic lane assignment (DLA) is an effective method to improve traffic flow and optimize urban road resources. ... Zhang H. M., Yang X. Two-Step Optimization Model for Dynamic Lane Assignment at Isolated Signalized Intersections. Transportation Research Record ... Zhang H. M., Yang X. Increasing the Capacity of Signalized Intersections with ...

  3. A Reliability-Based Stochastic Traffic Assignment Model for Signalized

    Traffic assignment model (TAM) is an important research issue of urban traffic design and planning. Most of the existing studies are conducted under deterministic conditions. In reality, the link travel time and waiting time at signalized intersections are stochastic due to many uncertain factors in transportation networks. Under this circumstance, this paper proposes a new travel time ...

  4. Toward a class of link travel time functions for dynamic assignment

    DOI: 10.1016/S0191-2615(96)00036-7 Corpus ID: 153407365; Toward a class of link travel time functions for dynamic assignment models on signalized networks @article{Ran1997TowardAC, title={Toward a class of link travel time functions for dynamic assignment models on signalized networks}, author={Bin Ran and Nagui M. Rouphail and Andrzej P. Tarko and David E. Boyce}, journal={Transportation ...

  5. PDF arXiv:1309.3461v2 [math.AP] 18 Mar 2016

    In the modeling of tra c networks, a signalized junction is typically treated using a binary vari-able to model the on-and-o nature of signal operation. While accurate, the use of binary vari- ... which poses di culties in quite a few dynamic tra c assignment models. For example, a dynamic user equilibrium problem (Friesz et al., 2013) cannot ...

  6. Dynamic Traffic Assignment with More Flexible Modelling ...

    Traffic network models tend to become very large even for medium-size static assignment problems. Adding a time dimension, together with time-varying flows and travel times within links and queues, greatly increases the scale and complexity of the problem. In view of this, to retain tractability in dynamic traffic assignment (DTA) formulations, especially in mathematical programming ...

  7. The Continuous Signalized (Cos) Node Model for Dynamic Traffic Assignment

    In macroscopic dynamic network loading, the role of the node model is to determine transfer volumes between each in- and outgoing link, while respecting in a consistent way all forward and backward-moving traffic waves (or boundary conditions) and desired turning fractions. ... spillback, dynamic traffic assignment, continuous signalized node ...

  8. Modeling Bus Priority Using Intermodal Dynamic Network Assignment

    This article presents a modeling framework that represents bus priority at signalized intersections in the context of its potential network-level and intermodal effects. The model incorporates bus priority within an intermodal dynamic traffic assignment-simulation model. It dynamically assigns travelers to different modes and routes in

  9. The continuous signalized (COS) node model for dynamic traffic assignment

    Continuous signalized node model. 1. Introduction. In Dynamic Traffic Assignment (DTA), a link model and a node model, cooperating in a Dynamic Network Loading (DNL) algorithm, propagate traffic through a network. For numerically solving the DNL, the simulation time dimension is typically discretized and in each time step (Δ t ), the link ...

  10. Dynamic Lane-Use Assignment Model at Signalized Intersections under

    A dynamic lane-use assignment model at signalized intersection under tidal flow is established in this paper. By solving the model, an optimal solution for lane-use assignment and signal phase can be obtained and determinations can be made whether reversible lanes need to be set up or how many reversible lanes need to be set up.

  11. Dynamic Optimal Traffic Assignment and Signal Time Optimization Using

    Abstract: In this article a dynamic system-optimal traffic assignment model is formulated for a congested urban road network with a number of signalized intersections. A simulation-based approach is employed for the case of multiple-origin-multiple-destination traffic flows. The artificial intelligence technique of genetic algorithms (GAs) is used to minimize the overall travel cost in the ...

  12. Traffic Signal Optimization: Combining Static and Dynamic Models

    In this paper, we present a cyclically time-expanded network model for simultaneous optimization of traffic assignment and traffic signal parameters, in particular, offsets, split times, and phase orders. Since travel times are of great importance for developing realistic solutions for traffic assignment and traffic signal coordination in urban ...

  13. Toward a class of link travel time functions for dynamic assignment

    Downloadable (with restrictions)! This paper investigates time-dependent travel time functions for dynamic assignment on signalized arterial network links. Dynamic link travel times are first classified according to various applications. Subsequently, stochastic and deterministic travel time functions for longer and shorter time horizons are discussed separately, and two sets of functions are ...

  14. Dynamic User Equilibrium Traffic Assignment on Congested

    This paper presents the development of a dynamic user equilibrium (DUE) traffic-assignment model for the congested urban road network with signalized intersections. A simulation-based approach is employed for the case of multiple-origin multiple-destination traffic flows.

  15. Toward a class of link travel time functions for dynamic assignment

    Passing from path flows to link flows requires non-linear and complex flow propagation models known as network loading models. In specific technical literature, different approaches have been used to study Dynamic Network Loading models, depending on whether the link performances are expressed in an aggregate or disaggregate way, and how vehicles are traced.

  16. Schedule-Based Dynamic Assignment Models for Public Transport Networks

    Abstract. In the sphere of transit assignment, the dynamic models approach is the focus of increasing interest, because of the importance of explicit system simulations to know user flow for each run and the performance of different service networks in terms of times and comfort levels, and to enable user decisions to be evaluated if ITS is used.

  17. [PDF] The General Link Transmission Model for Dynamic Network Loading

    This chapter will present the GLTM that is the extension of the link transmission model (LTM) to any concave fundamental diagram and node topology and compare it with the dynamic user equilibrium (DUE) algorithm and find it to be flexible, reliable, and easy to calibrate. This chapter will present the General Link Transmission Model (GLTM) that is the extension of the link transmission model ...

  18. PDF A Comparison of Static and Dynamic Traffic Assignment Under Tolls: A

    web page. In particular, VISTA can perform dynamic traffic assignment using a cell transmission model (CTM). The cell transmission model was developed by Daganzo (15) as a discrete version of the hydrodynamic traffic flow model. The CTM can be thought of as a simulation-based model which divides network links into shorter "cells," which then ...

  19. Proposed quick method for applying dynamic lane assignment at

    A dynamic reversible lane assignment method for approaches of signalized junctions that consider the game equilibrium between road users and traffic controllers and a bi-level programming model is established to theoretically analyze the behaviors of the players involved in the leader-follower strategic game. Expand