Exploring the potential of aggregated traffic models for estimating network-wide emissions

Batista, Sergio; Tilg, Gabriel; Menéndez, Mónica

doi:10.1016/j.trd.2022.103354

Cited by 17 publications

(8 citation statements)

References 53 publications

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“…This is good news because in steady state or in the common case of slowly-varying demand, one may use the accumulation-based model, which is a much more parsimonious model that only requires a good estimation of the average trip length. Interestingly, similar findings have been reported for multi-reservoir models (Batista et al, , 2022.…”

Section: Discussionsupporting

confidence: 88%

Effect of the Trip-Length Distribution on Network-Level Traffic Dynamics: Exact and Statistical Results

Laval¹

2023

Preprint

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This paper presents additional results of the generalized bathtub model for urban networks, including a simpler derivation and exact solutions for uniformly distributed trip lengths. It is shown that in steady state this trip-based model is equivalent to the more parsimonious accumulation-based model, and that the trip-length distribution has merely a transient effect on traffic dynamics, which converge to the same point in the macroscopic fundamental diagram (MFD). To understand the statistical properties of the system, a queueing approximation method is proposed to compute the network accumulation variance. It is found that (i) the accumulation variance is much larger than predicted by traditional queueing models, due to the nonlinear dynamics imposed by the MFD, (ii) the trip-length distribution has no effect on the accumulation variance, indicating that the proposed formula for the variance might be universal, (iii) the system exhibits critical behavior near the capacity state where the variance diverges to infinity. This indicates that the tools from critical phenomena and phase transitions might be useful to understand congestion in cities.

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Section: Discussionsupporting

confidence: 88%

Effect of the Trip-Length Distribution on Network-Level Traffic Dynamics: Exact and Statistical Results

Laval¹

2023

Preprint

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“…The need to develop a monitoring system of network-wide emissions is recently gaining popularity [58], [59]. The works of [60] and [61] open the door for research in this direction. In particular, in [60] the authors found a relationship between the network aggregated variable average speed and the emission levels of the network.…”

Section: B Limitations and Challengesmentioning

confidence: 99%

Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams

Tesone,

Tettamanti,

Varga

et al. 2024

IEEE Access

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Increasing motorization represents a severe problem worldwide, also affecting the emission levels of the road network. Accordingly, congestion management has obtained growing importance because of its strong economic, social, and environmental implications. Macroscopic Fundamental Diagram (MFD) based traffic control is a popular and efficient approach in this scientific field. In our research work the urban network has been divided into homogeneous regions, each of them characterized by its own MFD, and they are regulated using a network-level control scheme. The proposed Multiobjective Model Predictive Control (M-MPC) takes into account the congestion and CO 2 emission levels of the urban network, modelled by the emerging Emission Macroscopic Fundamental Diagram (e-MFD). The applied strategy has been demonstrated in a realistic traffic scenario (Luxembourg City) using validated microscopic traffic simulation. According to the introduced multiobjective approach, the control method can better exploit the road network capacity while efficiently reducing traffic-induced emissions.

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“…We partition the network into four regions. This partitioning considers geographical features as discussed in [47]. The Inn river separates regions 2 and 3 from regions 1 and 4.…”

Section: Characterization Of Eco-friendly Paths In a Real Test Networkmentioning

confidence: 99%

On the Characterization of Eco-Friendly Paths for Regional Networks

Batista¹,

Ameli

Menéndez³

2023

IEEE Open J. Intell. Transp. Syst.

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Macroscopic traffic models represent a promising tool to design strategies for ecological routing. To benefit from this tool, we must first characterize the relationship between path emissions and distance traveled or travel time on aggregated networks, i.e., a regional network. This paper investigates this relationship between two toy networks and a real urban network representing the city of Innsbruck (Austria). We utilize an accumulation-based model based on the Macroscopic Fundamental Diagram to mimic the traffic dynamics in the network and utilize the COPERT IV model to estimate the travel emissions, focusing on the carbon dioxide CO2. We show that there is a linear relationship between the total emissions of CO2 and the average travel time of internal paths, i.e. paths that take place completely within a single region. We also show that in some cases, there is a linear relationship between the total emissions and the average travel distance or travel time of paths that cross multiple regions in the network. However, the latter is not always true as traffic dynamics play an important role in path emissions. In other words, eco-friendly paths on regional networks do not necessarily follow the shortest paths in terms of distance or time.

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Exploring the potential of aggregated traffic models for estimating network-wide emissions

Cited by 17 publications

References 53 publications

Effect of the Trip-Length Distribution on Network-Level Traffic Dynamics: Exact and Statistical Results

Effect of the Trip-Length Distribution on Network-Level Traffic Dynamics: Exact and Statistical Results

Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams

On the Characterization of Eco-Friendly Paths for Regional Networks

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