An Artificial-Neural-Network-Based Model for Real-Time Dispatching of Electric Autonomous Taxis
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DOI: 10.1109/tits.2020.3029141
Abstract: This paper presents a real-time dispatching model for electric autonomous vehicle (EAV) taxis that combines mathematical programming and machine learning. The EAV taxi dispatching problem is formulated and solved as an integer linear program that… read more here.
Keywords: based model; electric autonomous; dispatch; real time ... See more keywords
Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning
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DOI: 10.1109/tmc.2020.3022173
Abstract: Nowadays, most of the taxi drivers have become users of the relocation recommendation service offered by online ride-hailing platforms (e.g., Uber and Didi Chuxing), which could oftentimes lead drivers to places with profitable orders. At… read more here.
Keywords: taxi; taxis; relocation recommendation; taxi drivers ... See more keywords
Marginal Effects and Spatial Variations of the Impact of the Built Environment on Taxis’ Pollutant Emissions in Chengdu, China
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DOI: 10.3390/ijerph192416962
Abstract: Understanding the impact of the urban built environment on taxis’ emissions is crucial for sustainable transportation. However, the marginal effects and spatial heterogeneity of this impact is worth noting. To this end, we calculated the… read more here.
Keywords: effect; environment taxis; built environment; taxis emissions ... See more keywords
Wireless Charging of Electric Taxis: Understanding the Facilitators and Barriers to Its Introduction
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DOI: 10.3390/su12218798
Abstract: The shift to electric vehicles has brought about the potential to reduce the environmental damage caused by road transport. However, several challenges prevent wider adoption of electric vehicles, such as: a lack of charging facilities,… read more here.
Keywords: taxis; understanding facilitators; facilitators barriers; wireless charging ... See more keywords
Reinforcement Learning for Optimizing Driving Policies on Cruising Taxis Services
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DOI: 10.3390/su12218883
Abstract: As the key element of urban transportation, taxis services significantly provide convenience and comfort for residents’ travel. However, the reality has not shown much efficiency. Previous researchers mainly aimed to optimize policies by order dispatch… read more here.
Keywords: driving policies; taxis services; reinforcement learning; policies cruising ... See more keywords