By Francesco Corman, Stefan Voß, Rudy R. Negenborn
This ebook constitutes the refereed complaints of the sixth foreign convention on Computational Logistics, ICCL 2015, held in Delft, The Netherlands, in September 2015.
The 50 papers offered during this quantity have been conscientiously reviewed and chosen for inclusion within the booklet. they're geared up in topical sections entitled: delivery over flooring, delivery over water, overseas coordination inside a method, exterior coordination between systems.
Read Online or Download Computational Logistics: 6th International Conference, ICCL 2015, Delft, The Netherlands, September 23-25, 2015, Proceedings PDF
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Extra info for Computational Logistics: 6th International Conference, ICCL 2015, Delft, The Netherlands, September 23-25, 2015, Proceedings
Then, we compare the approaches RTR and RTRG on instances where a matching is found only by both RTR and RTRG, hereafter denoted by H. The results are reported in Table 2. In column CI , the average cost-savings in round-trip on set of instances I are shown. In column CH , the average cost-savings in round-trip on set of instances H are shown. The Round-Trip Ridesharing Problem with Relay Stations 27 Table 2. 2 From the Table 2, we can see that the generated cost-saving is signiﬁcant in both approaches RTR and RTRG compared to CRT for all classes.
In the return trip, the rider d can be matched with the driver j with cost-savings equal to 8 . e, -3 ). The main diﬃculty here lies in the way of sharing the saved cost, which depends both on the ridershare partners in outgoing and return trips. Note that the sharing procedure of saved cost in not considered in this study. To take into account the total gain in round-trip instead of separate gain in outgoing and return trips, we just need to modify the lines 5, 12 and 20 in Algorithm 2. More precisely, in the lines 5 and 12, we only check the constraints of detour time in outgoing and return trips, respectively.
Figure 3 gets a better visualization of the running time of adding and removing oﬀer. Table 4. 1 Removing oﬀer 10 8 6 4 4 2 2 99 239 549 Number of buckets 99 239 549 Number of buckets Fig. 3. Adding and removing oﬀers depending on the number of buckets and oﬀers in the system. The Round-Trip Ridesharing Problem with Relay Stations 29 Summarizing these results, the two approaches RTI and RTIG provide eﬃcient results in terms of successful matching, cost-savings and running-time. They can also solve the problem of ridesharing with a high number of oﬀers and relay stations within a few seconds of computation time.