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Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

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Impacts of cooperative adaptive cruise control on freeway traffic flow

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Autonomous Vehicle Technology: A Guide for Policymakers

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Greenhouse Gas Emission Impacts of Carsharing in North America

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Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore

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Anthropological invariants in travel behavior

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Autonomous Vehicle Shuttle in Smart City Testbed

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Effects of Automated Vehicles on Traffic Flow With Different Levels of Automation

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Driverless futures: current non-drivers’ willingness to travel in driverless vehicles

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Fuel use and emission rates reduction potential for light-duty gasoline vehicle eco-driving

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Assessing the Network-Wide Impacts of Dedicated Lanes for Connected Autonomous Vehicles

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Who is more attached to their car? Comparing automobility engagement and response to shared, automated and electric mobility in Canada and Germany

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Vehicle attribute trade-offs to meet the 2025 CAFE fuel economy target

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Could automated vehicles reduce transport energy?

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Study on drivers' visual perception characteristics during the take‐over of vehicle control in automated driving

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Autonomous, Connected, Electric Shared Vehicles (ACES) and Public Finance: An Explorative AnalysisPreprint

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Users’ Acceptance of Connected and Automated Shuttles for Tourism Purposes: A Survey Study

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Fairness in transitions to low-carbon mobility

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Effect of Connected and Autonomous Vehicles on Supply Chain Performance

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Exploring Energy Impacts of Cyberattacks on Adaptive Cruise Control Vehicles

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Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions

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Factors predicting green behavior and environmental sustainability in autonomous vehicles: A deep learning-based ANN and PLS-SEM approach

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Vehicle automation and freeway ‘pipeline’ capacity in the context of legal standards of care

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An Efficiency Enhancing Methodology for Multiple Autonomous Vehicles in an Urban Network Adopting Deep Reinforcement Learning

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Bridge over troubled water: managing compatibility and conflict among thought collectives in sustainability science

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University students’ perspectives on autonomous vehicle adoption: Adelaide case study

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The role of psychological factors on the choice of different driving controls: On manual, partial, and highly automated controls

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Optimal design of differentiated credit charging links in mixed-autonomy transportation networks

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Connected Autonomous Electric Vehicles as Enablers for Low-Carbon Future

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Driving to a future without accidents? Connected automated vehicles’ impact on accident frequency and motor insurance risk

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Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous VehiclesPreprint

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Vehicle Automation Impact on Traffic Flow and Stability: A Review of Literature

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Small and rural towns’ perception of autonomous vehicles: insights from a survey in Texas

Usman, M., Li, W., Bian, J., Chen, A., Ye, X., Li, X., Dadashova, B., Lee, C., Lee, K., Rathinam, S., et al. (2023) · Transportation Planning and Technology · doi:10.1080/03081060.2023.2259373 · Cited by 14

Joint optimal pricing strategy of shared autonomous vehicles and road congestion pricing: A regional accessibility perspective

Liu, A., Zhong, S., Sun, D., Gong, Y., Fan, M., & Song, Y. (2023) · Cities · doi:10.1016/j.cities.2023.104742 · Cited by 15

Shared versus pooled automated vehicles: Understanding behavioral intentions towards adopting on-demand automated vehicles

Hamiditehrani, S., Scott, D. M., & Sweet, M. N. (2024) · Travel Behaviour and Society · doi:10.1016/j.tbs.2024.100774 · Cited by 14

The energy-saving effect of early-stage autonomous vehicles: A case study and recommendations in a metropolitan area

Tu, H., Zhao, L., Tu, R., & Li, H. (2024) · Energy · doi:10.1016/j.energy.2024.131274 · Cited by 14

Are current roads ready for highly automated driving? A conceptual model for road readiness for AVs applied to the UK city of Leeds

Tengilimoglu, O., Carsten, O., & Wadud, Z. (2024) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2024.104148 · Cited by 16

Unintended environmental impacts of private automated vehicles: Insights from Gunma Prefecture, Japan

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How Consumer Experience Shapes the Adoption of Autonomous Technologies: A Longitudinal Study With Shared Autonomous Vehicles

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A Systemic View of Future Mobility Scenario Impacts on and Their Implications for City Organizational LCA: The Case of Autonomous Driving in Vienna

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Capacity Impacts and Optimal Geometry of Automated Cars’ Surface Parking Facilities

Kong, Y., Vine, S. L., & Liu, X. (2018) · Journal of Advanced Transportation · doi:10.1155/2018/6908717 · Cited by 14

Forecasting Travel Demand for New Mobility Services Employing Autonomous Vehicles

Hidaka, K., & Shiga, T. (2018) · Transportation research procedia · doi:10.1016/j.trpro.2018.11.025 · Cited by 14

Lane-changing trajectory control strategy on fuel consumption in an iterative learning framework

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The transformation of mobility in Europe: Technological change and social conditionings

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Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities

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Assessing the Long- and Mid-Term Effects of Connected and Automated Vehicles on Highways’ Traffic Flow and Capacity

Mahdavian, A., Shojaei, A., & Oloufa, A. A. (2019) · International Conference on Sustainable Infrastructure (ICSI) · doi:10.1061/9780784482650.027 · Cited by 13

A framework for the impact of highly automated vehicles with limited operational design domains

Bin-Nun, A. Y., & Binamira, I. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.06.024 · Cited by 13

Battery Energy Management of Autonomous Electric Vehicles Using Computationally Inexpensive Model Predictive Control

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Asia Pacific road transportation emissions, 1900–2050

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Impacts of Private Autonomous and Connected Vehicles on Transportation Network Demand in the Triangle Region, North Carolina

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Smart Cities Data: Framework, Applications, and Challenges

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Generating Merging Strategies for Connected Autonomous Vehicles Based on Spatiotemporal Information Extraction Module and Deep Reinforcement Learning

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Integrated path controlling and subsidy scheme for mobility and environmental management in automated transportation networks

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Accelerated Testing for Highly Automated Vehicles: A Combined Method Based on Importance Sampling and Normalizing Flows

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Warming up to inscrutability: How technology could challenge our concept of law

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Analysis of Fast Charging Station Network for Electrified Ride-Hailing Services

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Designing Streets for Autonomous Vehicles

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Impacts of electrification & automation of public bus transportation on sustainability—A case study in Singapore

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The Impacts of Automated Vehicles on the Transport System and How to Create Policies that Target Sustainable Development Goals

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An Open-Source Modular Quasi-Static Longitudinal Simulation for Full Electric Vehicles

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Activities while travelling? Travel time perception and travel time use in an era of automated driving

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Governance of Emerging Autonomous Driving Development in China

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I’m curious, I’m open to it, I test it, I trust it! A focus groups study to understand a-priori trust in automated buses

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Agent-based modelling approach for autonomous vehicle influence on countries’ welfare

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Differential impacts of autonomous and connected-autonomous vehicles on household residential location

Hasnat, M. M., Bardaka, E., & Samandar, M. S. (2023) · Travel Behaviour and Society · doi:10.1016/j.tbs.2023.02.007 · Cited by 12

Simulating long-term emissions from private automated vehicles under climate policies

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Exploring the association between socio‐demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia

Chen, Y., Shiwakoti, N., Stasinopoulos, P., Khan, S. K., & Aghabayk, K. (2023) · IET Intelligent Transport Systems · doi:10.1049/itr2.12441 · Cited by 12

Comfort in Automated Driving: A Literature Survey and a High-Level Integrative Framework

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Unraveling the Complex Barriers to and Policies for Shared Autonomous Vehicles: A Strategic Analysis for Sustainable Urban Mobility

Ullah, I., Zheng, J., Ullah, S., Bhattarai, K., Almujibah, H. R., & Alawad, H. (2024) · Systems · doi:10.3390/systems12120558 · Cited by 12

Incorporating lane-change prediction into energy-efficient speed control of connected autonomous vehicles at intersections

Zamanpour, M., He, S., Levin, M. W., & Sun, Z. (2024) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2024.104968 · Cited by 12

Travel experience matters: Expected personal mobility impacts after simulated L3/L4 automated driving

Lehtonen, E., Wörle, J., Malin, F., Metz, B., & Innamaa, S. (2021) · Transportation · doi:10.1007/s11116-021-10211-6 · Cited by 13

Repositioning of driverless cars: Is return to home rather than downtown parking economically viable?

Tscharaktschiew, S., Reimann, F., & Evangelinos, C. (2022) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2022.100547 · Cited by 12

Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling

Jafaripournimchahi, A., Cai, Y., Wang, H., Sun, L., & Weng, J. (2022) · Journal of Advanced Transportation · doi:10.1155/2022/2253697 · Cited by 14

Exploring “automobility engagement”: A predictor of shared, automated, and electric mobility interest?

Gauer, V. H., Axsen, J., Dütschke, E., & Long, Z. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103353 · Cited by 14

Reducing congestion and emissions via roadside unit deployment under mixed traffic flow

Liu, Y., Chen, Z., Gong, S., & Liu, H. (2023) · International Journal of Coal Science & Technology · doi:10.1007/s40789-022-00557-2 · Cited by 12

New Solutions in Sustainable Commuting—The Attitudes and Experience of European Stakeholders and Experts in Switzerland

Hoerler, R., Härri, F., & Hoppe, M. (2019) · Social Sciences · doi:10.3390/socsci8070220 · Cited by 13

Policy implications of the potential carbon dioxide (CO2) emission and energy impacts of highly automated vehicles

Annema, J. A. (2020) · Advances in transport policy and planning · doi:10.1016/bs.atpp.2020.03.001 · Cited by 12

A Hysteretic Q-learning Coordination Framework for Emerging Mobility Systems in Smart Cities

Chalaki, B., & Malikopoulos, A. A. (2021) · European Control Conference (ECC) · doi:10.23919/ecc54610.2021.9655172 · Cited by 12

Evaluation on the Fuel Economy of Automated Vehicles with Data-Driven Simulation Method

Luo, Y., Xiang, D., Zhang, S., Liang, W., Sun, J., & Zhu, L. (2021) · Energy and AI · doi:10.1016/j.egyai.2021.100051 · Cited by 14

MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles

Aoki, S., Jan, L. E., Zhao, J., Bhat, A., Chang, C.-F., & Rajkumar, R. (2021) · IEEE Intelligent Vehicles Symposium · doi:10.1109/iv48863.2021.9575585 · Cited by 12

Potential effects of automated driving on vehicle travel demand: A comparison of three case cities

Dai, J., Li, R., & Liu, Z. (2024) · Journal of Traffic and Transportation Engineering (English Edition) · doi:10.1016/j.jtte.2022.03.003 · Cited by 11

Introducing the vehicle-infrastructure cooperative control system by quantifying the benefits for the scenario of signalized intersections

Wang, X., Lu, L., Zhang, Z., Wang, Y., & Li, H. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104378 · Cited by 12

From connected vehicles to a connected, coordinated and automated road transport (C2ART) system

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Industry 4.0 an empirical analysis of users’ intention in the automotive sector

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Road pricing adaptation to era of autonomous and shared autonomous vehicles: Perspective of Brazil, Jordan, and Azerbaijan

Shatanawi, M., Ghadi, M. Q., & Mészáros, F. (2021) · Transportation research procedia · doi:10.1016/j.trpro.2021.06.033 · Cited by 11

Estimating the travel demand impacts of semi automated vehicles

Hardman, S., Chakraborty, D., & Tal, G. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103311 · Cited by 12

Choosing a Mode in Bangkok: Room for Shared Mobility?

Ayaragarnchanakul, E., Creutzig, F., Javaid, A., & Puttanapong, N. (2022) · Sustainability · doi:10.3390/su14159127 · Cited by 11

Will all autonomous cars cooperate? Brands' strategic interactions under dynamic congestion

Yu, X., van den Berg, V. A. C., Verhoef, E. T., & Li, Z.-C. (2022) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2022.102825 · Cited by 11

Do bicyclists and pedestrians support their city as an autonomous vehicle proving ground? Evidence from Pittsburgh

Xing, Y., Han, X., Zhang, H. M., Lu, J., & Gao, Z. (2022) · Case Studies on Transport Policy · doi:10.1016/j.cstp.2022.10.015 · Cited by 11

Perceptions towards autonomous vehicle acceptance: Information mining from Self-Organizing Maps and Random Forests

Ζιακόπουλος, Α., Telidou, C., Anagnostopoulos, A., Kehagia, F., & Yannis, G. (2023) · IATSS Research · doi:10.1016/j.iatssr.2023.11.002 · Cited by 11

Exact Formulation and Comparison Between the User Optimum and System Optimum Solution for Routing Privately Owned Automated Vehicles

van Essen, J. T., & Correia, G. H. D. A. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2889290 · Cited by 11

Test Methodology to Quantify and Analyze Energy Consumption of Connected and Automated Vehicles

Rengarajan, S. B., Hotz, S., Hirsch, C. J., Lobato, P., Gross, M., Sturgeon, P., & Sarlashkar, J. (2019) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2019-01-0116 · Cited by 11

Robust Learning-Based Trajectory Planning for Emerging Mobility Systems

Chalaki, B., & Malikopoulos, A. A. (2022) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc53348.2022.9867265 · Cited by 11

Estimating Bounds of Aerodynamic, Mass, and Auxiliary Load Impacts on Autonomous Vehicles: A Powertrain Simulation Approach

Chen, Y., Sun, R., & Wu, X. (2021) · Sustainability · doi:10.3390/su132212405 · Cited by 11

Autonomous vehicle adoption behavior and safety concern: A study of public perception

Nazari, F., Noruzoliaee, M., & Mohammadian, A. (2025) · Multimodal Transportation · doi:10.1016/j.multra.2025.100252 · Cited by 13

What changes the autonomous vehicle acceptance after COVID-19? Evidence from China

Li, R., Han, Y., & Zhou, H. (2024) · Research in Transportation Economics · doi:10.1016/j.retrec.2024.101498 · Cited by 10

Scenarios of Automated Mobility in Austria: Implications for Future Transport Policy

Soteropoulos, A., Pfaffenbichler, P. C., Berger, M., Emberger, G., Stickler, A., & Dangschat, J. S. (2021) · Future Transportation · doi:10.3390/futuretransp1030041 · Cited by 10

Will leisure trips be more affected than work trips by autonomous technology? Modelling self-driving public transport and cars in Stockholm, Sweden

Almlöf, E., Nybacka, M., Pernestål, A., & Jenelius, E. (2022) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2022.08.023 · Cited by 10

Travel Demand Increment Due to the Use of Autonomous Vehicles

Mohammed, D., & Horváth, B. (2023) · Sustainability · doi:10.3390/su15118937 · Cited by 11

Environmental impacts of the transition to automated vehicles: A life cycle perspective

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Introduction to autonomous vehicles

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