Modeling Traffic Flow Operation in Multilane and Multiclass Urban Networks

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.

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.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Junjie Zhang ◽  
Haiyang Yu ◽  
Wenquan Feng ◽  
Hongbo Li ◽  
Can Yang ◽  
...  

2020 ◽  
Vol 12 (15) ◽  
pp. 5923 ◽  
Author(s):  
Xu Sun ◽  
Kun Lin ◽  
Pengpeng Jiao ◽  
Huapu Lu

The paper focuses on the problem of traffic congestion at intersection based on the mechanism of risk identification. The main goal of this study is to explore a new methodology for identifying and predicting the intersection congestion. Considering all the factors influencing the traffic status of intersection congestion, an integrated evaluation index system is constructed. Then, a detailed dynamic decision model is proposed for identifying the risk degree of the traffic congestion and predicting its influence on future traffic flow, which combines the traffic flow intrinsic properties with the basic model of the Risking Dynamic Multi-Attribute Decision-Making theory. A case study based on a real-world road network in Baoji, China, is implemented to test the efficiency and applicability of the proposed modeling. The evaluation result is in accord with the actual condition and shows that the approach proposed can determine the likelihood and risk degree of the traffic congestion occurring in the intersection, which can be used as a tool to help transport managers make some traffic control measures in advance.


2013 ◽  
Vol 734-737 ◽  
pp. 1609-1612
Author(s):  
Wei Zhan ◽  
Yue Quan Shang ◽  
Feng Xia Chi

Based on the investigation of traffic flow in a typical highway tunnel group, the traffic flow characteristics were analyzed by catastrophe theory with the relationship of the speed, volume and density. The discontinuous leaping change phenomenon of the traffic data under large traffic volume is better explained by the catastrophe model than the traditional ways. The value of critical density can be obtained by analyzing the critical state of traffic flow. Then the traffic flow warning can be realized in highway tunnel group region. The data and results can be used for the reference of taking traffic control measures by highway management.


2019 ◽  
Vol 9 (14) ◽  
pp. 2848 ◽  
Author(s):  
Zawar H. Khan ◽  
Waheed Imran ◽  
Sajid Azeem ◽  
Khurram S. Khattak ◽  
T. Aaron Gulliver ◽  
...  

A new macroscopic traffic flow model is proposed, which considers driver presumption based on driver reaction and traffic stimuli. The Payne–Whitham (PW) model characterizes the traffic flow based on a velocity constant C 0 which results in unrealistic density and velocity behavior. Conversely, the proposed model characterizes traffic behavior with velocities based on the distance headway. The performance of the proposed and PW models is evaluated over a 300 m circular road for an inactive bottleneck. The results obtained show that the traffic behavior with the proposed model is more realistic.


Sign in / Sign up

Export Citation Format

Share Document