Name
Abstract | ||
|---|---|---|
Nowadays, city streets are populated not only by private vehicles but also by public transport, distribution of goods, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how authorities could improve the road traffic by changing the different vehicle proportions: sedans, minivans, full-size vans, trucks, and motorbikes, without losing the ability of moving cargo throughout the city. We have performed our study in a realistic scenario and defined a multi-objective optimization problem to be solved, so as to minimize these city metrics. Our results provide a scientific evidence that we can improve the delivery of goods in the city by reducing the number of heavy duty vehicles and fostering the use of full-size vans instead.
|
Year | Venue | Field |
|---|---|---|
2018 | GECCO (Companion) | Truck,Duty,Mathematical optimization,Evolutionary algorithm,Computer science,Transport engineering,Road traffic,Public transport,Scientific evidence,Optimization problem |
DocType | ISBN | Citations |
Conference | 978-1-4503-5764-7 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel H. Stolfi | 1 | 24 | 7.24 |
| Christian Cintrano | 2 | 0 | 3.38 |
| Francisco Chicano | 3 | 506 | 40.99 |
| Alba Enrique | 4 | 143 | 8.74 |