A famous example of an NP-complete problem is the traveling salesman problem, which has wide applications in the optimization of transportation schedules.
One important line of research applies CDR analysis to study human mobility and transportation and to develop methods that can be used e.g. for urban real-time monitoring [9] and planning [10], or for optimization of transportation infrastructure [11 14].
Still, optimization of transportation supply under equilibrium assumption may not guarantee that an effective solution is obtained; indeed the system may not evolve towards the equilibrium state, if this state is not stable.
Through work on the SBDS since 2014, MOLIT is attempting to address the increasing demands from diverse policy domains for big spatial data and analyses, such as in the optimization of public transportation systems for improved commuting, timely supply of affordable housing data customized to different needs of local citizens, etc.
This results in optimized subsystems but leaves often a potential for the optimization of the total transportation system.
It is also noted that with stringent regulation of CO2 emissions, a detailed knowledge of fuel reactivity is urgently needed for the selection of novel alternative bio-fuels for transportation, and optimization of their engine performance in the future.
However, future commercialization of this process would require significant changes in harvesting practices and on-field equipment, development of biomass storage and transportation options, optimization of starch- and cellulose-based thermochemical co-pretreatment, and minimization of enzyme loadings required for efficient hydrolysis.
This theory provides us with a framework to understand and solve many problems arising in the field of economics, optimization, transportation, elasticity and applied sciences.
The objective of their model is optimization of distribution centers by considering the transportation cost and carbon pollutants caused by manufacturing and transportation.
The aim is to achieve cost-effectiveness in terms of optimization of the costs of production and transportation of energy to the end user; energy security for the prevention of risks associated with the use of automated process control systems of energy supply and energy consumption.
As inland shipping has been playing a more and more important role in integrated transportation system, the optimization of such a network with empty containers repositioning is of great practical significance to raise inland shipping service level so as to promote freight mode shift from land to water.
