Dynamic Network Loading Model with Explicit Traffic Wave Tracking

2008 ◽  
Vol 2085 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Thomas Durlin ◽  
Vincent Henn
Keyword(s):  
Dynamic Traffic Assignment ◽  
Dynamic Network ◽  
Traffic Signal ◽  
Signal Model ◽  
Tracking Method ◽  
Dynamic Network Loading ◽  
Network Loading ◽  
Intersection Model ◽  
Traffic Wave ◽  
First Time

A dynamic network loading (DNL) model is presented: it can be used both for dynamic traffic assignment (DTA) and for an accurate description of traffic. The proposed DNL model is composed of (a) the link model based on the Lighthill-Whitham-Richards macroscopic first-order model solved with the wave-tracking method, (b) a new intersection model that generalizes the Daganzo macroscopic merge model to complex intersections, and (c) a traffic signal model that represents the mean effects of stage alternation on traffic in terms of delays and of capacity restrictions. Both the wave-tracking method and the traffic signal model are applied in a network context for the first time. The model can be consistently solved with various precision scales: low-precision scales to quickly provide a good estimation of travel times on the network for DTA purposes, and high-precision scales for accurate descriptions of traffic with all the desired modeling details.

scholarly journals A Model to Simulate Multimodality in a Mesoscopic Dynamic Network Loading Framework

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Massimo Di Gangi ◽  
Antonio Polimeni
Keyword(s):  
Transport System ◽  
Dynamic Network ◽  
Real Situation ◽  
Dynamic Network Loading ◽  
Network Loading ◽  
Functional Aspects ◽  
Multimodal Transport ◽  
Multimodal Network ◽  
Modal Change ◽  
Simple Network

A dynamic network loading (DNL) model using a mesoscopic approach is proposed to simulate a multimodal transport network considering en-route change of the transport modes. The classic mesoscopic approach, where packets of users belonging to the same mode move following a path, is modified to take into account multiple modes interacting with each other, simultaneously and on the same multimodal network. In particular, to simulate modal change, functional aspects of multimodal arcs have been developed; those arcs are properly located on the network where modal change occurs and users are packed (or unpacked) in a new modal resource that moves up to destination or to another multimodal arc. A test on a simple network reproducing a real situation is performed in order to show model peculiarities; some indicators, used to describe performances of the considered transport system, are shown.

Continuous-time point-queue models in dynamic network loading

2012 ◽  
Vol 46 (3) ◽  
pp. 360-380 ◽  
Author(s):  
Xuegang (Jeff) Ban ◽  
Jong-Shi Pang ◽  
Henry X. Liu ◽  
Rui Ma
Keyword(s):  
Continuous Time ◽  
Dynamic Network ◽  
Dynamic Network Loading ◽  
Network Loading ◽  
Time Point

scholarly journals A Node Model Capturing Turning Lane Capacity and Physical Queuing for the Dynamic Network Loading Problem

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Mingxia Gao
Keyword(s):  
Network Flow ◽  
Dynamic Network ◽  
Iteration Process ◽  
Flow Conditions ◽  
Dynamic Network Loading ◽  
Network Loading ◽  
Proposed Model ◽  
Loading Problem ◽  
Consistent Approximations ◽  
First In First Out

An analytical dynamic node-based model is proposed to represent flows on a traffic network and to be utilized as an integral part of a dynamic network loading (DNL) process by solving a continuous DNL problem. The proposed model formulation has an integrate base to be structured with a link load computing component, where physical queuing and its influence were explicitly taken into account by dividing a link into two parts: running part and queuing part. The solution to the model is obtained by a hybridization algorithm of simulation and analytical approach, where an iteration process is conducted to update time-dependent network flow conditions after a reasonable discretization of the problem. The performance of the proposed model, as a DNL model, is tested on a sample network. It is seen that the proposed model provides consistent approximations to link flow dynamics. The dynamic node model proposed in this paper is unique in that it explicitly models directional queue in each turning lane and the First-In-First-Out (FIFO) rule at lane level rather than link level is pursued.

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