A Parallel Emission Regulatory Framework for Intelligent Transportation Systems and Smart Cities

This letter is one of the latest research reports from IEEE TIV's Decentralized and Hybrid Workshops (DHW) on Ethics, Responsibility, and Sustainability (ERS). In the last year, we organized 1 distributed/decentralized and hybrid symposia (DHS), 2 DHWs, and 7 seminars. The following is a brief review of the findings from our DHS, DHWs, and Seminars, in particularly about a novel emission regulatory framework for intelligent transportation systems (ITS) and smart cities (SCs) in ERS. Vehicle emissions are one of the main anthropogenic contributors to global warming and atmospheric pollution. However, effective regulation of transportation emissions is still challenging, even in intelligent transportation systems and smart cities. To realize accurate estimations and credible predictions, a parallel framework is proposed in this letter, consisting of a parallel transportation level and a parallel vehicle level. Through low-cost computational experiments and parallel executions, both accurate estimation and emission-aware optimal planning can be achieved. Unlike previous emission models, modern aftertreatment systems (ATS) are considered as a core module in this novel modular integration model (MIM). An application case on CO2 emissions is conducted to validate the fundamental function of this framework.

Automated summary

This letter presents the latest research findings from IEEE TIV's Decentralized and Hybrid Workshops (DHW) on Ethics, Responsibility, and Sustainability (ERS). The research focuses on a novel emission regulatory framework for intelligent transportation systems (ITS) and smart cities (SCs) in ERS. The framework proposes a parallel transportation level and a parallel vehicle level to achieve accurate estimation and emission-aware optimal planning. The letter also highlights the importance of considering modern aftertreatment systems (ATS) as a core module in the emission model.