Ride-pooling has become an important service option offered by ride-hailing platforms . By leveragingcustomer data, connected vehicles, and efficient assignment algorithms,ride-pools can be a critical instrument to address driver shortages andmitigate the negative externalities of rideshailing operations . We propose a restricted subgraph method and compare it with other existing heuristic and optimization-based matching algorithms using avariety of metrics . Our results find a trade-offamong heuristics between throughput and customer matching time . This work provides insight forpolicymakers and ride-harassment operators about the performance of simplerheuristics and raises concerns about prioritizing only specific platformmetrics without considering service quality, says the authors . We show thatour proposed ride-poolings strategy maintains system performance while limiting trip delays and improving customer experience . The authors also show that our proposed ridepooling strategy maintains ride-Pooling strategy is feasible and effective . For more information, please contact the authors of this article on

Author(s) : Alexander Sundt, Qi Luo, John Vincent, Mehrdad Shahabi, Yafeng Yin

Links : PDF - Abstract

Code :

Keywords : ride - authors - pooling - customer - strategy -

Leave a Reply

Your email address will not be published. Required fields are marked *