A macroscopic approach for assessing the environmental performance of shared, automated, electric mobility in an intercity corridor

This paper aims to evaluate the traffic and environmental performance when implementing scenarios with shared vehicles (SVs), electric vehicles (EVs) and automated vehicles (AVs) using a macro simu...

[1]  A. Kornhauser,et al.  It’s up to us: Policies to improve climate outcomes from automated vehicles , 2019, Energy Policy.

[2]  R. Moeckel,et al.  Shared Autonomous Vehicles Effect on Vehicle-Km Traveled and Average Trip Duration , 2018 .

[3]  Susan Shaheen,et al.  Automated Vehicles, On-Demand Mobility, and Environmental Impacts , 2015 .

[4]  Kay W. Axhausen,et al.  Autonomous vehicles: The next jump in accessibilities? , 2017 .

[5]  J. Bandeira,et al.  Quantifying road traffic emissions embedded in a multi-objective traffic assignment model , 2020, Transportation Research Procedia.

[6]  Pavol Bauer,et al.  Roadway to self-healing highways with integrated wireless electric vehicle charging and sustainable energy harvesting technologies , 2018 .

[7]  Itf.  Urban Mobility System Upgrade: How shared self-driving cars could change city traffic , 2015 .

[8]  Marta C. González,et al.  Understanding congested travel in urban areas , 2016, Nature Communications.

[9]  Laurence R. Rilett,et al.  Calibration of Microsimulation Models Using Nonparametric Statistical Techniques , 2005 .

[10]  Christian Seidel,et al.  Charging Infrastructure Implementation for EVs – the Case of Berlin , 2016 .

[11]  Maurizio Bruglieri,et al.  The vehicle relocation problem for the one-way electric vehicle sharing , 2013, ArXiv.

[12]  Kara M. Kockelman,et al.  Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas , 2018 .

[13]  B. Slack,et al.  The Geography of Transport Systems , 2006 .

[14]  Carlos Borrego,et al.  Impact of land use on urban mobility patterns, emissions and air quality in a Portuguese medium-sized city. , 2011, The Science of the total environment.

[15]  Joeri Van Mierlo,et al.  Energy Consumption Prediction for Electric Vehicles Based on Real-World Data , 2015 .

[16]  Kara M. Kockelman,et al.  Operations of a Shared, Autonomous Electric Vehicle Fleet: Implications of Vehicle & Charging Infrastructure Decisions , 2016 .

[17]  J. Greenblatt,et al.  Cost, Energy, and Environmental Impact of Automated Electric Taxi Fleets in Manhattan. , 2018, Environmental science & technology.

[18]  Simon Washington,et al.  Projected prevalence of car-sharing in four Asian-Pacific countries in 2030: What the experts think , 2017 .

[19]  P. Jochem,et al.  Greenhouse gas emissions of electric vehicles in Europe considering different charging strategies , 2020 .

[20]  Fei Guo,et al.  Comprehensive analysis method of determining global long-term GHG mitigation potential of passenger battery electric vehicles , 2021 .

[21]  Cynthia Barnhart,et al.  Comparing Optimal Relocation Operations With Simulated Relocation Policies in One-Way Carsharing Systems , 2014, IEEE Transactions on Intelligent Transportation Systems.

[22]  Nidhi Kalra,et al.  Autonomous Vehicle Technology: A Guide for Policymakers , 2014 .

[23]  Urbano Nunes,et al.  Platooning of autonomous vehicles with intervehicle communications in SUMO traffic simulator , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[24]  Eric Wood,et al.  Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach , 2017, Transportation Research Part A: Policy and Practice.

[25]  Furong Li,et al.  Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates , 2016 .

[26]  Nicolas Reiß,et al.  Developing and Evaluating Intermodal E-Sharing Services–A Multi-method Approach , 2014 .

[27]  Marija Jankovic,et al.  Shared Autonomous Vehicle Simulation and Service Design , 2019, Transportation Research Part C: Emerging Technologies.

[28]  F. Asdrubali,et al.  Carbon Footprint of autonomous vehicles at the urban mobility system level: A traffic simulation-based approach , 2019, Transportation Research Part D: Transport and Environment.

[29]  Michail Makridisa,et al.  Connected and Automated Vehicles on a freeway scenario . Effect on traffic congestion and network capacity , 2018 .

[30]  C. Borrego,et al.  ASSESSMENT OF LOCAL AIR QUALITY FOR DIFFERENT PENETRATION LEVELS OF CONNECTED AUTONOMOUS VEHICLES , 2019, Urban Transport XXV.

[31]  Yuanyuan Song,et al.  Study on Eco-Route Planning Algorithm and Environmental Impact Assessment , 2013, J. Intell. Transp. Syst..

[32]  Ye Wu,et al.  Energy consumption and CO2 emission impacts of vehicle electrification in three developed regions of China , 2012 .

[33]  F. Asdrubali,et al.  Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model , 2019, Sustainability.

[34]  Asad J. Khattak,et al.  Extracting Useful Information from Basic Safety Message Data: An Empirical Study of Driving Volatility Measures and Crash Frequency at Intersections , 2018, 1803.02433.

[35]  Jingqiu Guo,et al.  Simulated CAVs Driving and Characteristics of the Mixed Traffic Using Reinforcement Learning Method , 2019 .

[36]  Rosaldo J. F. Rossetti,et al.  Capability-Enhanced AIMSUN with Real-Time Signal Timing Control , 2014 .

[37]  C. Borrego,et al.  Autonomous vehicles opportunities for cities air quality. , 2020, The Science of the total environment.

[38]  Maria Laura Delle Monache,et al.  Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments , 2017, ArXiv.

[39]  Tetsuo Tezuka,et al.  Modeling shared autonomous electric vehicles: Potential for transport and power grid integration , 2018, Energy.

[40]  Dong Ngoduy,et al.  Instability of cooperative adaptive cruise control traffic flow: A macroscopic approach , 2013, Commun. Nonlinear Sci. Numer. Simul..

[41]  Markos Papageorgiou,et al.  Simulation of the penetration rate effects of ACC and CACC on macroscopic traffic dynamics , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[42]  Sergio Maria Patella,et al.  A preliminary study of the potential impact of autonomous vehicles on residential location in Rome , 2019, Research in Transportation Economics.

[43]  Juudit Ottelin,et al.  Does car sharing reduce greenhouse gas emissions? Life cycle assessment of the modal shift and lifetime shift rebound effects , 2019, 1910.11570.

[44]  Naomi Zimmerman,et al.  Air quality and greenhouse gas implications of autonomous vehicles in Vancouver, Canada , 2021 .

[45]  José Manuel Viegas,et al.  Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal , 2017 .

[46]  Praprut Songchitruksa,et al.  Assessing environmental impacts of ad-hoc truck platooning on multilane freeways , 2019 .

[47]  Asad J. Khattak,et al.  Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections , 2020, J. Intell. Transp. Syst..

[48]  Mohammed Quddus,et al.  Evaluating the safety impact of connected and autonomous vehicles on motorways. , 2019, Accident; analysis and prevention.

[49]  A. Soret,et al.  A coupled macroscopic traffic and pollutant emission modelling system for Barcelona , 2021, Transportation Research Part D: Transport and Environment.

[50]  L. Rilett,et al.  Calibration of Microsimulation Models Using Nonparametric Statistical Techniques , 2005 .

[51]  Bernhard Steubing,et al.  Does car sharing reduce greenhouse gas emissions? Assessing the modal shift and lifetime shift rebound effects from a life cycle perspective , 2020 .

[52]  Don MacKenzie,et al.  Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles , 2016 .

[53]  J. Greenblatt,et al.  Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles , 2015 .