A traffic control framework for urban networks based on within-day dynamic traffic flow models

2019 ◽  
Vol 16 (2) ◽  
pp. 234-269 ◽  
Author(s):  
Roberta Di Pace
Author(s):  
Chang-Jen Lan ◽  
Gary A. Davis

Previous research efforts on developing traffic flow models to account for traffic flow dynamics over transportation networks have centered on macroscopic high-order models. It is unclear whether traffic flow dynamics can be well described using a high-order model formulation, but for real-time traffic control, it is important to have tractable yet accurate models. Described here is a set of tractable traffic flow models based on the Markovian compartment concept. The basic models can be further modified to produce effects analogous to high-order models in capturing unstable traffic behavior during congestion. Special treatments are also made to account for the effects of conflicting flow on the predicted turning exit flow at intersection approaches. The proposed models are evaluated using field data. The results indicate that all the model parameters, including traffic flow parameters and gap acceptance parameters, are reasonably estimated, and the underlying models provide good fits to the field data.


Author(s):  
D. Ngoduy ◽  
S. P. Hoogendoorn ◽  
J. W. C. van Lint

The traffic control task in heterogeneous multilane motorways and urban networks is complicated because it concerns multiple objectives and multiple target groups (user classes). Furthermore, it is characterized by large differences in driving behaviors between user classes and network types. The latter are caused by the interaction between user classes, the interplay between control measures, and the interaction between different parts of the networks. This complexity requires a model-based approach for achieving better understanding of the complicated process at hand and for the subsequent efficient control of these processes, for example, by applying model-based optimal controls. However, the contemporary macroscopic traffic flow models for urban networks are deficient in that they fail to deal adequately with heterogeneous traffic on multilane links. The aim of this paper is to devise a much more elaborate macroscopic traffic flow model, focusing on urban networks, to be able to cope with the complex control task and its application. The model proposed here is then implemented in the urban part of a computer-based network model, HELENA.


Author(s):  
Monish Tandale ◽  
Jinwhan Kim ◽  
Karthik Palaniappan ◽  
P. K. Menon ◽  
Jay Rosenberger ◽  
...  

The traffic flow conditions in developing countries are predominantly heterogeneous. The early developed traffic flow models have been derived from fluid flow to capture the behavior of the traffic. The very first two-equation model derived from fluid flow is known as the Payne-Whitham or PW Model. Along with the traffic flow, this model also captures the traffic acceleration. However, the PW model adopts a constant driver behavior which cannot be ignored, especially in the situation of heterogeneous traffic.This research focuses on testing the PW model and its suitability for heterogeneous traffic conditions by observing the model response to a bottleneck on a circular road. The PW model is mathematically approximated using the Roe Decomposition and then the performance of the model is observed using simulations.


2008 ◽  
Vol 41 (2) ◽  
pp. 14078-14083 ◽  
Author(s):  
J.W.C. Van Lint ◽  
Serge P. Hoogendoorn ◽  
A. Hegyi

1998 ◽  
Vol 47 (11) ◽  
pp. 1761
Author(s):  
LV XIAO-YANG ◽  
LIU MU-REN ◽  
KONG LING-JING

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