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相关论文: Incentive Design for Eco-driving in Urban Transpor…

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This paper develops incentive mechanisms for promoting eco-driving with the overarching goal of minimizing emissions in transportation networks. The system operator provides drivers with energy-efficient driving guidance throughout their…

计算机科学与博弈论 · 计算机科学 2025-10-15 M. Umar B. Niazi , Jung-Hoon Cho , Munther A. Dahleh , Roy Dong , Cathy Wu

Ecodriving guidance includes courses or suggestions for human drivers to improve driving behaviour, reducing energy use and emissions. This paper presents a systematic review of existing eco-driving guidance studies and identifies…

机器人学 · 计算机科学 2022-03-30 Ran Tu , Junshi Xu

Tourism is a major contributor to global carbon emissions and over-tourism, creating an urgent need for recommender systems that not only inform but also gently steer users toward more sustainable travel decisions. Such choices, however,…

人机交互 · 计算机科学 2025-10-31 Ashmi Banerjee , Melih Mert Aksoy , Wolfgang Wörndl

As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substantial ecological as well as financial benefit. With…

Given the increasing popularity and demand for connected and autonomous vehicles (CAVs), Eco-driving and platooning in highways and urban areas to increase the efficiency of the traffic system is becoming a possibility. This paper presents…

系统与控制 · 电气工程与系统科学 2023-01-19 Hao Zhen , Sahand Mosharafian , Jidong J. Yang , Javad Mohammadpour Velni

Our research aims at developing intelligent systems to reduce the transportation-related energy expenditure of a large city by influencing individual behavior. We introduce COPTER - an intelligent travel assistant that evaluates multi-modal…

人工智能 · 计算机科学 2019-11-01 Shiwali Mohan , Hesham Rakha , Matthew Klenk

Electromobility can contribute to a reduction in greenhouse gas emissions if usage behavior is aligned with the increasing availability of renewable energy. To achieve this, smart navigation systems can be used to inform drivers of optimal…

物理与社会 · 物理学 2025-08-13 Celina Kacperski , Florian Kutzner

This article presents an eco-driving algorithm for electric vehicles featuring multi-speed transmissions. The proposed controller is formulated as a co-optimization problem, simultaneously optimizing both vehicle longitudinal speed and…

系统与控制 · 电气工程与系统科学 2026-01-28 Suiyi He , Zongxuan Sun

New challenges on transport systems are emerging due to the advances that the current paradigm is experiencing. The breakthrough of the autonomous car brings concerns about ride comfort, while the pollution concerns have arisen in recent…

机器人学 · 计算机科学 2025-01-30 Óscar Mata-Carballeira , Inés del Campo , Estibalitz Asua

Automated vehicles can gather information about surrounding traffic and plan safe and energy-efficient driving behavior, which is known as eco-driving. Conventional eco-driving designs only consider preceding vehicles in the same lane as…

系统与控制 · 电气工程与系统科学 2024-05-10 Chaozhe R. He , Nan Li

Reducing air pollution, such as CO2 and PM2.5 emissions, is one of the most important issues for many countries worldwide. Selecting an environmentally friendly transport mode can be an effective approach of individuals to reduce air…

机器学习 · 计算机科学 2021-09-15 Keiichi Ochiai , Tsukasa Demizu , Shin Ishiguro , Shohei Maruyama , Akihiro Kawana

We propose an incentive-based traffic demand management policy to alleviate traffic congestion on a road stretch that creates a bottleneck for the commuters. The incentive targets electric vehicles owners by proposing a discount on the…

最优化与控制 · 数学 2021-11-11 Carlo Cenedese , Patrick Stokkink , Nikolas Gerolimins , John Lygeros

This study represents a first attempt to build a backcasting methodology to identify the optimal policy roadmaps in transport systems. In this methodology, desired objectives are set by decision makers at a given time horizon, and then the…

最优化与控制 · 数学 2025-02-06 Vinith Lakshmanan , Xavier Guichet , Antonio Sciarretta

In recent years, the persuasive interventions for inducing sustainable urban mobility behaviours has become a very active research field. This review paper systematically analyses existing approaches and prototype systems and describes and…

Urban traffic congestion, exacerbated by inefficient parking management and cruising for parking, significantly hampers mobility and sustainability in smart cities. Drivers often face delays searching for parking spaces, influenced by…

Over the past decade, most of the metropolitan cities across the world have been witnessing a degrading trend in air quality index. Exhaust emission data observations show that promotion of public transport could be a potential way out of…

计算机与社会 · 计算机科学 2020-10-30 Unnikrishnan Menon , Divyani Panda

Navigation apps use routing algorithms to suggest the best path to reach a user's desired destination. Although undoubtedly useful, navigation apps' impact on the urban environment (e.g., carbon dioxide emissions and population exposure to…

计算机与社会 · 计算机科学 2024-01-23 Giuliano Cornacchia , Matteo Böhm , Giovanni Mauro , Mirco Nanni , Dino Pedreschi , Luca Pappalardo

Transportation contributes a substantial fraction of all greenhouse gas emissions. One approach for reducing such emissions is to modify vehicles' route choices to minimize their fuel consumption or emission, which is known as eco-routing.…

计算工程、金融与科学 · 计算机科学 2022-07-29 Rocío Cotta Antúnez , Michael W. Levin

Eco-driving has been shown to reduce energy consumption for electric vehicles (EVs). Such strategies can also be implemented to both reduce energy consumption and improve battery lifetime. This study considers the eco-driving of a connected…

系统与控制 · 电气工程与系统科学 2024-10-03 Yongqiang Wang , Suresh G. Advani , Ajay K. Prasad

A vehicle's fuel consumption depends on its type, the speed, the condition, and the gradients of the road on which it is moving. We developed a Routing Engine for finding an eco-route (one with low fuel consumption) between a source and a…

网络与互联网体系结构 · 计算机科学 2020-11-30 R K Ghosh , Vinay R , Arnab Bhattacharyya
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