Optimizing Long-Distance Electric Vehicle Routes Based on Passenger Satisfaction Model DOI Creative Commons
Mohammed Alatiyyah

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 16(1), P. 3 - 3

Published: Dec. 26, 2024

This study presents a novel approach to optimizing long-distance electric vehicle (EV) routes by prioritizing passenger happiness—a vital yet often overlooked aspect in route planning for sustainable transportation. Traditional EV optimization models focus primarily on technical considerations such as energy efficiency, charging station availability, and minimizing travel time, they rarely account the human-centric factors that shape satisfaction. research introduces comprehensive framework integrates qualitative aspects of experience, including scenic preferences, comfort during travel, enriching activities at stops. The employed methodology combines data analytics psychological assessment develop an model aligns efficiency with well-being. Computational experiments conducted across varied scenarios reveal optimized happiness not only enhance overall experience but also demonstrate potential encourage broader adoption journeys. results underscore importance balancing highlight critical areas infrastructure improvements, strategic placement high-power stations.

Language: Английский

Optimizing Long-Distance Electric Vehicle Routes Based on Passenger Satisfaction Model DOI Creative Commons
Mohammed Alatiyyah

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 16(1), P. 3 - 3

Published: Dec. 26, 2024

This study presents a novel approach to optimizing long-distance electric vehicle (EV) routes by prioritizing passenger happiness—a vital yet often overlooked aspect in route planning for sustainable transportation. Traditional EV optimization models focus primarily on technical considerations such as energy efficiency, charging station availability, and minimizing travel time, they rarely account the human-centric factors that shape satisfaction. research introduces comprehensive framework integrates qualitative aspects of experience, including scenic preferences, comfort during travel, enriching activities at stops. The employed methodology combines data analytics psychological assessment develop an model aligns efficiency with well-being. Computational experiments conducted across varied scenarios reveal optimized happiness not only enhance overall experience but also demonstrate potential encourage broader adoption journeys. results underscore importance balancing highlight critical areas infrastructure improvements, strategic placement high-power stations.

Language: Английский

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