TRISTAN 2016 - 9th Triennial Symposium on Transportation Analysis (TRISTAN16)

Ninth Triennial Symposium on Transportation Analysis (TRISTAN IX). TRISTAN is an international scientific conference that provides a high-quality forum for the presentation of mathematical models, methodologies and computational results, and for the exchange of ideas and scientific discussions on advanced applications and technologies in transportation.
The eight previous conferences took place in Montréal (Canada, 1991), Capri (Italy, 1994), San Juan (Puerto Rico, 1998), San Miguel (Azores Islands, 2001), Le Gosier (Guadeloupe, 2004), Phuket (Thailand, 2007), Tromsø (Norway, 2010), and San Pedro de Atacama (Chile, 2013).
TRISTAN IX will be held June 13 through 17, 2016, on the island of Aruba. Located in the southern Caribbean Sea, Aruba is famous for its tropical climate, turquoise seas, white sandy beaches, and hospitable and vibrant culture. This “one happy island” aspires to befully sustainable by 2020, and to this end is innovating its pedestrian, road, rail, maritime, and air transportation systems.
To support this goal, we introduce the Green Transportation Award that will be granted to the paper that contributes most towards sustainable transportation.
As in all previous TRISTAN conferences, we expect to gather top research scientists from universities and research institutes from all over the world along with scientific participants from private sectors, public agencies, and graduate students. In line with the TRISTAN tradition, the scope of TRISTAN IX covers the fields of transportation optimization, traffic engineering, and transit and shared mobility.
The scope of the Conference is wide and comes from different areas of interest within Transportantion Science and Operations Research;
location and network design,
vehicule routing,
inventory routing,
transit system planning,
vehicle scheduling,
railway transportation,
marine transportation,
freight planning,
traffic control strategies,
fleet management,
crew scheduling,
supply chain,
real-time operations,
travel demand models.
Ayo a Aruba,
Andreas Hegyi, Bart van Arem, Adam Pel, Niels Agatz, Alfredo Núñez, Luuk Veelenturf, Nicole Fontein, Simon Goede