Optimal Low Emission Zones scheduling as an example of transport policy backcasting

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Alami, Asmae, Lakshmanan, Vinith, Sciarretta, Antonio
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866910938370670592
author Alami, Asmae
Lakshmanan, Vinith
Sciarretta, Antonio
author_facet Alami, Asmae
Lakshmanan, Vinith
Sciarretta, Antonio
contents This study presents a backcasting approach that considers the passenger car fleet dynamics to determine optimal policy roadmaps in transport systems. As opposed to the scenario-based approach, backcasting sets emission reduction targets first, then identifies policies that meet the constraint. The policy is the implementation of Low Emission Zones (LEZs), in the Ile-de-France region as a case study. The aim is to minimize the number of scrapped vehicles due to LEZs under CO2 emission targets and to deduce an interdiction schedule of polluting vehicles by 2050. To explore potential solutions, we use a genetic algorithm that provides a first insight into optimal policy pathways.
format Preprint
id arxiv_https___arxiv_org_abs_2505_07451
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimal Low Emission Zones scheduling as an example of transport policy backcasting
Alami, Asmae
Lakshmanan, Vinith
Sciarretta, Antonio
Systems and Control
Optimization and Control
This study presents a backcasting approach that considers the passenger car fleet dynamics to determine optimal policy roadmaps in transport systems. As opposed to the scenario-based approach, backcasting sets emission reduction targets first, then identifies policies that meet the constraint. The policy is the implementation of Low Emission Zones (LEZs), in the Ile-de-France region as a case study. The aim is to minimize the number of scrapped vehicles due to LEZs under CO2 emission targets and to deduce an interdiction schedule of polluting vehicles by 2050. To explore potential solutions, we use a genetic algorithm that provides a first insight into optimal policy pathways.
title Optimal Low Emission Zones scheduling as an example of transport policy backcasting
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2505.07451