EURO 2024 Copenhagen
Abstract Submission

EURO-Online login

3181. A Bi-Level Optimization Model for Congestion and Emission Control in Transportation Networks

Invited abstract in session WD-53: Carbon Taxing and Emissions Controls, stream Sustainable and Resilient Systems.

Wednesday, 14:30-16:00
Room: 8007 (building: 202)

Authors (first author is the speaker)

1. Anna Laura Pala
DIAG, Sapienza Università di Roma
2. Giuseppe Stecca
Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti", Consiglio Nazionale delle Ricerche

Abstract

Congestion addressing issue is of utmost importance to ensure the sustainable development of urban conglomerates, particularly in light of governmental initiatives aimed at regulating emissions. Congestion mitigation through resource optimization, not only enhances commuter quality of life, but also alleviates delays and reduces operational cost for carriers. This research introduces a novel bi-level model aimed at addressing congestion and emissions control in transportation networks. At the first level, acting as authority, our model aims to mitigate congestion and reduce emissions. By analysing traffic flows and assessing congestion levels on arcs and routes, we impose a crossing cost proportional to the degree of arc saturation, thereby discouraging congestion buildup while simultaneously penalizing emissions to promote environmental sustainability. At the second level, coalitions make decisions based on cost minimization. Specifically, the follower's problem is presented as a freight forwarding issue, in which the model enables transhipments between vehicles, implicitly allowing coalition formation and promoting a collaborative approach. This model serves as decision support, offering a comprehensive approach to congestion and emissions management in transportation systems. The case study is related to CNMOST PNRR spoke 7 research program.

Keywords

Status: accepted

Back to the list of papers