Abstract
For this study we developed a traffic-simulation based on the SimCo simulation tool and ran different governance scenarios regarding the effects of the distribution of real-time traffic data among drivers. The scenarios were based on interviews with experts from diverse fields, including a navigation service provider, the German Federal Highway Research Institute, and public transport providers. We found that a coordinated form of governance between private firms and local authorities benefits all parties. To analyse the impact of such a coordinated mode of governance, two scenarios were implemented. Firstly, drivers would get real-time traffic information and secondly, they would also receive information on emissions enabling them to change their route accordingly. We found that the use of real-time data does indeed decrease traffic jams, and thus increases network efficiency, but it also increases emissions. This trade-off between network efficiency and emission reduction is prevalent in all our findings.
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Cepera, K., Konrad, J. (2021). Simulating Governance of Complex Transportation Systems. In: Ahrweiler, P., Neumann, M. (eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_52
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