Analysis and comparison of traffic flow models: a new hybrid traffic flow model vs benchmark models

Author:

Storani Facundo,Di Pace RobertaORCID,Bruno Francesca,Fiori Chiara

Abstract

Abstract Background This paper compares a hybrid traffic flow model with benchmark macroscopic and microscopic models. The proposed hybrid traffic flow model may be applied considering a mixed traffic flow and is based on the combination of the macroscopic cell transmission model and the microscopic cellular automata. Modelled variables The hybrid model is compared against three microscopic models, namely the Krauß model, the intelligent driver model and the cellular automata, and against two macroscopic models, the Cell Transmission Model and the Cell Transmission Model with dispersion, respectively. To this end, three main applications were considered: (i) a link with a signalised junction at the end, (ii) a signalised artery, and (iii) a grid network with signalised junctions. Results The numerical simulations show that the model provides acceptable results. Especially in terms of travel times, it has similar behaviour to the microscopic model. By contrast, it produces lower values of queue propagation than microscopic models (intrinsically dominated by stochastic phenomena), which are closer to the values shown by the enhanced macroscopic cell transmission model and the cell transmission model with dispersion. The validation of the model regards the analysis of the wave propagation at the boundary region.

Funder

PhD program on transportation (Ph.D. School in Environmental Engineering), University of Salerno

Local Grant, University of Salerno

Italian program PON AIM – Attraction and International Mobility, Linea 1

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Transportation,Automotive Engineering

Reference58 articles.

1. Treiber, M., & Kesting, A. (2013). Traffic flow dynamics. Traffic Flow Dynamics: Data, Models and Simulation, Springer, Berlin. https://doi.org/10.1007/978-3-642-32460-4

2. Storani, F., Di Pace, R., & de Luca, S (2021) A hybrid traffic flow model for traffic management with human-driven and connected vehicles. Transportmetrica B: Transport Dynamics

3. Lighthill, M. J., & Whitham, G. B. (1955). On kinematic waves. II. A theory of traffic flow on long crowded roads. Paper presented at the Royal Society London. https://doi.org/10.1098/rspa.1955.0089

4. Richards, P. I. (1956). Shockwaves on the highway. Operations Research, 4, 42–51. https://doi.org/10.1287/opre.4.1.42

5. Payne, H.J. (1971) Mathematical models of public systems, edited by G.A. Bekey. Simulation Council, La Jolla, CA, Vol. 1, pp. 51–61.

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3