Optimization for dynamic ride-sharing: A review

By Niels A. H. Agatz, A. Erera, Martin W. P. Savelsbergh, Xing Wang. European Journal of Operational Research, 2012

985 citations recorded by the source corpus.

Subfields: Automotive Engineering, Building and Construction, Transportation

View Paper: https://www.semanticscholar.org/paper/4eebe3bedf247d34201179914bb37285edf67192

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Citations in the corpus

Crowdsourced Delivery - A Dynamic Pickup and Delivery Problem with Ad Hoc Drivers (2016, background): “In that sense, our problem is similar to ridesharing or carpooling where individual travelers share a ride to save on their travel costs by using their own vehicles (Furuhata et al. 2013, Agatz et al. 2012).”
The Vehicle Routing Problem with Occasional Drivers (2016, background): “Several papers have analyzed problems arising in the general context of ridesharing, e.g., Agatz et al. (2011), Agatz et al. (2012), and Lee and Savelsbergh (2015), where the ridesharing refers to a mode of transportation in which individual travelers share a vehicle for a trip and split travel…”
What encourages people to carpool? An evaluation of factors with meta-analysis (2017, background): “More recently, authors have begun to explore the potential for dynamic ridesharing, where carpools are formed on short-notice using internet-based applications, without long-term agreements (Agatz et al. 2012).”
50th Anniversary Invited Article - City Logistics: Challenges and Opportunities (2016, background): “…body of research on optimization technology to support and enhance the effectiveness and sustainability of dynamic ridesharing providers, e.g., Hall and Qureshi (1997); Winter and Nittel (2006); Agatz et al. (2011, 2012); Furuhata et al. (2013); Stiglic et al. (2015); Lee and Savelsbergh (2015).”
The benefits of meeting points in ride-sharing systems (2015, background): “, allowing a rider to travel with more than one driver to reach his destination [Agatz et al., 2012].”
Ridesourcing systems: A framework and review (2019, background): “Note that there is a large stream of literature on the matching problem in dynamic ridesharing systems that aim to match travelers with similar itineraries and time schedules at short notice, and both passengers and drivers have their own travel needs (see Agatz et al., 2012 , for a review). A dynam”
Pricing and equilibrium in on-demand ride-pooling markets (2020, methodology): “Agatz et al. (2011) develop optimization methods to minimize total system travel distance and individual riders’ travel cost in an on-demand ride-sharing program. Verified by a simulation in metropolitan Atlanta, they show that sophisticated optimization approaches significantly improve the performa”