{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T04:16:04Z","timestamp":1774152964687,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T00:00:00Z","timestamp":1703721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ASPIRE Award for Research Excellence","award":["AARE20-368"],"award-info":[{"award-number":["AARE20-368"]}]},{"name":"Sandooq Al Watan research project","award":["AARE20-368"],"award-info":[{"award-number":["AARE20-368"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Convoy driving, a specialized form of collaborative autonomous driving, offers a promising solution to the multifaceted challenges that transportation systems face, including traffic congestion, pollutant emissions, and the coexistence of connected autonomous vehicles (CAVs) and human-driven vehicles on the road, resulting in mixed traffic flow. While extensive research has focused on the collective societal benefits of convoy driving, such as safety and comfort, one critical aspect that has been overlooked is the willingness of individual vehicles to participate in convoy formations. While the collective benefits are evident, individual vehicles may not readily embrace this paradigm shift without explicit tangible benefits and incentives to motivate them. Moreover, the objective of convoy driving is not solely to deliver societal benefits but also to provide incentives and reduce costs at the individual level. Therefore, this research bridges this gap by designing and modeling the societal benefits, including traffic flow optimization and pollutant emissions, and individual-level incentives necessary to promote convoy driving. We model a fundamental diagram of mixed traffic flow, considering various factors such as CAV penetration rates, coalition intensity, and coalition sizes to investigate their relationships and their impact on traffic flow. Furthermore, we model the collaborative convoy driving problem using the coalitional game framework and propose a novel utility function encompassing incentives like car insurance discounts, traffic fine reductions, and toll discounts to encourage vehicle participation in convoys. Our experimental findings emphasize the need to strike a balance between CAV penetration rate, coalition intensity, size, and speed to realize the benefits of convoy driving at both collective and individual levels. This research aims to align the interests of road authorities seeking sustainable transportation systems and individual vehicle owners desiring tangible benefits, envisioning a future where convoy driving becomes a mutually beneficial solution.<\/jats:p>","DOI":"10.3390\/s24010182","type":"journal-article","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T09:35:21Z","timestamp":1703756121000},"page":"182","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Unlocking Mutual Gains\u2014An Experimental Study on Collaborative Autonomous Driving in Urban Environment"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2759-3144","authenticated-orcid":false,"given":"Sumbal","family":"Malik","sequence":"first","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"},{"name":"Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0319-8126","authenticated-orcid":false,"given":"Manzoor Ahmed","family":"Khan","sequence":"additional","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"},{"name":"Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7488-0915","authenticated-orcid":false,"given":"Hesham","family":"El-Sayed","sequence":"additional","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"},{"name":"Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6230-1760","authenticated-orcid":false,"given":"Muhammad Jalal","family":"Khan","sequence":"additional","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"},{"name":"Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Malik, S., Khan, M.A., and El-Sayed, H. (2021). Collaborative autonomous driving\u2014A survey of solution approaches and future challenges. Sensors, 21.","DOI":"10.3390\/s21113783"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.tra.2016.10.013","article-title":"Forecasting Americans\u2019 long-term adoption of connected and autonomous vehicle technologies","volume":"95","author":"Bansal","year":"2017","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1841","DOI":"10.1109\/TITS.2020.3027731","article-title":"Integrated schedule and trajectory optimization for connected automated vehicles in a conflict zone","volume":"23","author":"Yao","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"113268","DOI":"10.1016\/j.rser.2023.113268","article-title":"Automotive platoon energy-saving: A review","volume":"179","author":"Pi","year":"2023","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Malik, S., Khan, M.A., El-Sayed, H., Khan, J., and Ullah, O. (2022). How do autonomous vehicles decide?. Sensors, 23.","DOI":"10.3390\/s23010317"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"127857","DOI":"10.1016\/j.physa.2022.127857","article-title":"Fundamental diagram and stability of mixed traffic flow considering platoon size and intensity of connected automated vehicles","volume":"604","author":"Yao","year":"2022","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"128906","DOI":"10.1016\/j.physa.2023.128906","article-title":"Influence of CAVs platoon characteristics on fundamental diagram of mixed traffic flow","volume":"624","author":"Jiang","year":"2023","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"103989","DOI":"10.1016\/j.trc.2022.103989","article-title":"Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow: An analytical and simulation method","volume":"147","author":"Yao","year":"2023","journal-title":"Transp. Res. Part Emerg. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"129130","DOI":"10.1016\/j.physa.2023.129130","article-title":"Fundamental diagram of mixed traffic flow considering time lags, platooning intensity, and the degradation of connected automated vehicles","volume":"627","author":"Li","year":"2023","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"126301","DOI":"10.1016\/j.physa.2021.126301","article-title":"Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow","volume":"583","author":"Ma","year":"2021","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3325530","DOI":"10.1155\/2023\/3325530","article-title":"Platoon Intensity of Connected Automated Vehicles: Definition, Formulas, Examples, and Applications","volume":"2023","author":"Jiang","year":"2023","journal-title":"J. Adv. Transp."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3829","DOI":"10.1109\/TITS.2021.3069463","article-title":"Cooperative decision making of connected automated vehicles at multi-lane merging zone: A coalitional game approach","volume":"23","author":"Hang","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"13448","DOI":"10.1109\/TITS.2023.3275055","article-title":"Multi-Lane Coordinated Control Strategy of Connected and Automated Vehicles for On-Ramp Merging Area Based on Cooperative Game","volume":"24","author":"Yang","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Hang, P., Lv, C., Huang, C., and Hu, Z. (2021, January 26\u201328). Cooperative decision making of lane-change for automated vehicles considering human-like driving characteristics. Proceedings of the 2021 40th Chinese Control Conference (CCC), Shanghai, China.","DOI":"10.23919\/CCC52363.2021.9550305"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"22549","DOI":"10.1109\/TITS.2022.3209607","article-title":"Decision making for connected automated vehicles at urban intersections considering social and individual benefits","volume":"23","author":"Hang","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Ledbetter, B., Wehunt, S., Rahman, M.A., and Manshaei, M.H. (2019, January 15\u201319). LIPs: A protocol for leadership incentives for heterogeneous and dynamic platoons. Proceedings of the 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), Milwaukee, WI, USA.","DOI":"10.1109\/COMPSAC.2019.00082"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4122","DOI":"10.1109\/TII.2019.2954213","article-title":"Smart-contract-based economical platooning in blockchain-enabled urban internet of vehicles","volume":"16","author":"Chen","year":"2019","journal-title":"IEEE Trans. Ind. Inf."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"17312","DOI":"10.1109\/TITS.2022.3169390","article-title":"Cooperative exchange-based platooning using predicted fuel-optimal operation of heavy-duty vehicles","volume":"23","author":"Earnhardt","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"128557","DOI":"10.1016\/j.physa.2023.128557","article-title":"A mixed capacity analysis and lane management model considering platoon size and intensity of CAVs","volume":"615","author":"Jiang","year":"2023","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"128452","DOI":"10.1016\/j.physa.2023.128452","article-title":"Traffic safety evaluation of mixed traffic flow considering the maximum platoon size of connected automated vehicles","volume":"612","author":"Jiang","year":"2023","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Gong, B., Wang, F., Lin, C., and Wu, D. (2022). Modeling HDV and CAV mixed traffic flow on a foggy two-lane highway with cellular automata and game theory model. Sustainability, 14.","DOI":"10.3390\/su14105899"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"04022116","DOI":"10.1061\/JTEPBS.0000730","article-title":"The fundamental diagram of mixed-traffic flow with CACC vehicles and human-driven vehicles","volume":"149","author":"Wang","year":"2023","journal-title":"J. Transp. Eng. Part A Syst."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1103\/PhysRevE.62.1805","article-title":"Congested traffic states in empirical observations and microscopic simulations","volume":"62","author":"Treiber","year":"2000","journal-title":"Phys. Rev. E"},{"key":"ref_24","first-page":"296","article-title":"Cooperative adaptive cruise control in real traffic situations","volume":"15","author":"Shladover","year":"2013","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.1109\/TVT.2004.833625","article-title":"Model predictive control of transitional maneuvers for adaptive cruise control vehicles","volume":"53","author":"Bageshwar","year":"2004","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S1361-9209(03)00054-3","article-title":"Development of VT-Micro model for estimating hot stabilized light duty vehicle and truck emissions","volume":"9","author":"Rakha","year":"2004","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Cheng, Y., Liu, Z., Gao, L., Zhao, Y., and Gao, T. (2022). Traffic risk environment impact analysis and complexity assessment of autonomous vehicles based on the potential field method. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph191610337"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/0191-2615(89)90014-3","article-title":"Efficiency and drag in the power-based model of fuel consumption","volume":"23","author":"Akcelik","year":"1989","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_29","unstructured":"Jimenez-Palacios, J.L. (1998). Understanding and Quantifying Motor Vehicle Emissions with Vehicle Specific Power and TILDAS Remote Sensing, Massachusetts Institute of Technology."},{"key":"ref_30","first-page":"918","article-title":"Microscopic emission and fuel consumption modeling for light-duty vehicles using portable emission measurement system data","volume":"66","author":"Lei","year":"2010","journal-title":"World Acad. Sci. Eng. Technol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2447","DOI":"10.3390\/smartcities6050111","article-title":"Should Autonomous Vehicles Collaborate in a Complex Urban Environment or Not?","volume":"6","author":"Malik","year":"2023","journal-title":"Smart Cities"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"787","DOI":"10.2307\/1951053","article-title":"A method for evaluating the distribution of power in a committee system","volume":"48","author":"Shapley","year":"1954","journal-title":"Am. Political Sci. Rev."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Han, S., Wang, H., Su, S., Shi, Y., and Miao, F. (2022, January 23\u201327). Stable and efficient Shapley value-based reward reallocation for multi-agent reinforcement learning of autonomous vehicles. Proceedings of the 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA.","DOI":"10.1109\/ICRA46639.2022.9811626"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"102667","DOI":"10.1016\/j.trd.2020.102667","article-title":"Organization of autonomous truck platoon considering energy saving and pavement fatigue","volume":"90","author":"Song","year":"2021","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1716","DOI":"10.1109\/TITS.2020.2972770","article-title":"Minimization of fuel consumption for vehicle trajectories","volume":"21","author":"Typaldos","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/1\/182\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:43:25Z","timestamp":1760132605000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/1\/182"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,28]]},"references-count":35,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,1]]}},"alternative-id":["s24010182"],"URL":"https:\/\/doi.org\/10.3390\/s24010182","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,28]]}}}