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We study the joint route assignment and charge scheduling problem of a transit system dispatcher operating a fleet of electric buses in order to maximize solar energy integration and reduce energy costs. Specifically, we consider a complex…

Systems and Control · Electrical Eng. & Systems 2019-12-13 Ahmadreza Moradipari , Nathaniel Tucker , Tuo Zhang , Gustavo Cezar , Mahnoosh Alizadeh

In response to the global need for sustainable energy, green technology may help fight climate change. Before green infrastructure to be easily integrated into the world's energy system, it needs upgrading. By improving energy…

Artificial Intelligence · Computer Science 2023-04-28 Ishan Shivansh Bangroo

As natural disasters become increasingly frequent, the need for efficient and equitable evacuation planning has become more critical. This paper proposes a data-driven, reinforcement learning-based framework to optimize bus-based…

Machine Learning · Computer Science 2024-12-10 Fang Tang , Han Wang , Maria Laura Delle Monache

Autonomous driving is a widely researched technology that is frequently tested on public roads. The data generated from these tests represent an essential competitive element for the respective companies moving this technology forward. In…

Computers and Society · Computer Science 2024-09-04 David Goedicke , Natalie Chyi , Alexandra Bremers , Stacey Li , James Grimmelmann , Wendy Ju

The transition to electric transportation is a key enabler for intelligent and sustainable cities; however, inadequate charging infrastructure remains a major barrier to large-scale electric vehicle (EV) adoption. This paper presents a…

Systems and Control · Electrical Eng. & Systems 2026-04-21 Rishit Agnihotri , Amit Chaurasia

Governments, regulatory bodies, and manufacturers are proposing plans to accelerate the adoption of electric vehicles (EVs), with the goal of reducing the impact of greenhouse gases and pollutants from internal combustion engines on human…

Systems and Control · Electrical Eng. & Systems 2023-09-22 Elisabetta Perotti , Ana M. Ospina , Gianluca Bianchin , Andrea Simonetto , Emiliano Dall'Anese

Accurate forecasting of bus ridership (passengers numbers) is crucial for efficient management and optimization of public transport systems. Traditional forecasting models often fail to capture the unique and localized dynamics of different…

Machine Learning · Computer Science 2026-05-04 Daniel Azenkot , Michael Fire , Eran Ben Elia

High fuel consumption cost results in drivers' economic burden. Plug-In Hybrid Electric Vehicles (PHEVs) consume two fuel sources (i.e., gasoline and electricity energy sources) with floating prices. To reduce drivers' total fuel cost,…

Computers and Society · Computer Science 2018-06-26 Yan Ding

Access to realistic transmission grid models is essential for power systems research, yet detailed network data in the United States remains restricted under critical-infrastructure regulations. We present a pipeline that constructs…

Systems and Control · Electrical Eng. & Systems 2026-05-07 Andrea Britto , Thiago Spina , Weiwei Yang , Spencer Fowers , Baosen Zhang , Chris White

While electrifying transportation eliminates tailpipe greenhouse gas (GHG) emissions, electric vehicle (EV) adoption can create additional electricity sector emissions. To quantify this emissions impact, prior work typically employs…

Systems and Control · Electrical Eng. & Systems 2025-04-25 Riti Bhandarkar , Qian Luo , Emil Dimanchev , Jesse D. Jenkins

Various options are discussed to de-fossilize heavy-duty vehicles (HDV), including battery-electric vehicles (BEV), electric road systems (ERS), and indirect electrification via hydrogen fuel cells or e-fuels. We investigate their power…

General Economics · Economics 2024-06-27 Carlos Gaete-Morales , Julius Jöhrens , Florian Heining , Wolf-Peter Schill

Electric vehicles (EVs) and particularly plug-in hybrid electric vehicles (PHEVs) are foreseen to become popular in the near future. Not only are they much more environmentally friendly than conventional internal combustion engine (ICE)…

Computational Engineering, Finance, and Science · Computer Science 2014-07-08 Farshad Rassaei , Wee-Seng Soh , Kee-Chaing Chua

Public transportation plays a critical role in people's daily life. It has been proven that public transportation is more environmentally sustainable, efficient, and economical than any other forms of travel. However, due to the increasing…

Artificial Intelligence · Computer Science 2020-07-15 Hao Liu , Ying Li , Yanjie Fu , Huaibo Mei , Jingbo Zhou , Xu Ma , Hui Xiong

The decarbonisation of heat in developed economies represents a significant challenge, with increased penetration of electrical heating technologies potentially leading to unprecedented increases in peak electricity demand. This work…

Systems and Control · Electrical Eng. & Systems 2020-05-26 Matthew Deakin , Sarah Sheehy , David M. Greenwood , Sara Walker , Phil C. Taylor

Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050. The economic contribution of the transport sector…

Computers and Society · Computer Science 2020-05-15 Zineb Mahrez , Essaid Sabir , Elarbi Badidi , Walid Saad , Mohamed Sadik

The electrification of road transport, as the predominant mode of transportation in Africa, represents a great opportunity to reduce greenhouse gas emissions and dependence on costly fuel imports. However, it introduces major challenges for…

This paper addresses the problem of predicting the energy consumption for the drivers of Battery electric vehicles (BEVs). Several external factors (e.g., weather) are shown to have huge impacts on the energy consumption of a vehicle…

Systems and Control · Electrical Eng. & Systems 2024-05-21 Yu-Wen Huang , Christian Prehofer , William Lindskog , Ron Puts , Pietro Mosca , Göran Kauermann

The increasing market penetration of electric vehicles (EVs) may pose significant electricity demand on power systems. This electricity demand is affected by the inherent uncertainties of EVs' travel behavior that makes forecasting the…

Machine Learning · Computer Science 2021-06-15 Sina Baghali , Samiul Hasan , Zhaomiao Guo

The advent of abundant on-board sensors and electronic devices in vehicles populates the paradigm of participatory sensing to harness crowd-sourced data gathering for intelligent transportation applications, such as distance-to-empty…

Human-Computer Interaction · Computer Science 2017-12-12 Chien-Ming Tseng , Chi-Kin Chau

In this paper we propose and solve a real options model for the optimal adoption of an electric vehicle. A policymaker promotes the abeyance of fossil-fueled vehicles through an incentive, and the representative fossil-fueled vehicle's…

General Economics · Economics 2022-04-14 Paolo Falbo , Giorgio Ferrari , Giorgio Rizzini , Maren Diane Schmeck