GeoAI-Powered Lane Matching for Bike Routes in GLOSA Apps
Author:
Affiliation:
1. TU Dresden, Dresden, Germany
Funder
Bundesministerium für Verkehr und Digitale Infrastruktur
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589132.3625583
Reference24 articles.
1. Francesco Paolo Appio Marcos Lima and Sotirios Paroutis. 2019. Understanding smart cities: innovation ecosystems technological advancements and societal challenges. Technological Forecasting and Social Change 142. Francesco Paolo Appio Marcos Lima and Sotirios Paroutis. 2019. Understanding smart cities: innovation ecosystems technological advancements and societal challenges. Technological Forecasting and Social Change 142.
2. Vehicular-communications-based speed advisory system for electric bicycles;Tal Irina;IEEE Transactions on Vehicular Technology, 65.,2015
3. BikeNow
4. Fast Track: Allowing Bikes to Participate in a Smart Transportation System
5. Optimized speed trajectories for cyclists, based on personal preferences and traffic light information-a stochastic dynamic programming approach;Dabiri Azita;IEEE Transactions on Intelligent Transportation Systems, 23.,2020
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