This is an excellent question. I had a similar question in my mind a couple of years back when I started my graduate study. I would suggest whatever you are most interested in would be good.
There are already ongoing projects on the design of electric car/bus charging, but I believe that this not coordinated. A more encompassing study nationally would be good.
Since transportation field interacts with many other fields, the topics of master research have been widely varied. In my opinion, the discussion on transport and health (as we face a pandemic) will be quite interesting and challenging.
Also, development of methodology in transport survey and analysis employing computational technology such as machine learning, machine visions should be an open door.
The application of AI and IoT for Autonomous vehicle operation for effective public transport integration. Many cities have or are shifting to a wheel and spoke topology interconnecting with activity hubs. The challenge now becomes collection of passengers and moving them to transport hubs that will allow quick rapid transit access to activity hubs.
Efficiency, Effectiveness and Optimum utilization of public transport systems while maintaining the balance in reliability of service.
I think the Covid effect will prove to be short term, so it’s impact on transportation will pass. I think automatic vehicle studies are well underway, so that ship has sailed.
I believe the future of our industry is in software and simulation — seeing how systems and designs of any sort perform before they are built to help refine/improve designs. 25 years ago, I saw a crude pedestrian simulation model on the PBS show “Nova.” I immediately knew that’s where engineering is headed.
That was years before 9/11. After that tragedy, I was part of the consultant team to design the new Santiago Calatrava World Trade Center designs for a new transportation hub. i led a small team to examine — through pedestrian simulation — his designs on moving people before design calculations were performed. I proved to be a futurist in regards to the reliance of simulation.
Now simulation is everywhere and new software makes it amazing. And I believe such software is still growing...so that’s my recommendation. Engulf yourself in learning the software through actual use to see how you them can offer your services. Get to it now before that ship sails too.
My 2 cents could be on the public transportation on two different fronts: First, Pre and Post COVID or pandemic situation, where the nature of the usage will look different than pre-pandemic. Second, would be on autonomous vehicles, which would cover rail, trucks and cars.
Javasolom a szállítási kutatási témámat megvizsgálni a lehető legtöbb aspektusból: környezetkímélés, felszini forgalom csökkentés, ajtótól ajtóig szállítás, balesetmentesség, energiatakarékosság, időjárás függetlenség, stb. Olvasd el a kutatásomat a ResearchGate oldalon:
CONCEPT OF AN UNDERGROUND AIRFLOWED PIPECAPSULES COST-EFFECTIVE TRANSPORT SYSTEM
After COVID-19, behaviours of public transportation users are changed and some paradigms are shifted. I think investigation of these behaviour change with a public survey may be interesting for a master of science dissertation.
Development of Activity Based Models using users activity data with different technologies to determine how COVID-19 will affect the choice of transport (agree with Francisco Alonso), travel demand characteristics (agree with Ahmed Abdaljabbar ) and mobility of cities (agree with Francisco Alonso ).
A topic not related to the COVID trend may be related to the shared economy. Trendy and at the same time with long term aspect. Car sharing in cities has several main problems to research. Also bicycle-sharing systems are interesting from engineering point of view.
Explain how the transportation management system integrates data with different sources to improve its overall performance. It is a big challenge, since we have lots of different systems and sources with no integration among them, providing a huge amount of data with no standardization. You can think about emerging technologies such as the Internet of Things (IoT) that will provide data exchange and communication to a multitude of devices. It is important to find a new paradigm of data collection.
In addition, transport safety problems, HRL investigation, Road users behaviour and safety issues, crash costing, optimization could be possible areas of interest.
We live in the Covid-sphere...it is a natural before-and-after real-life experiment we transportation engineers and politicians want answers about. The longer the pandemic persists, the more permanent will be societal changes to many facets of our lives. But more targeted to our industry, mode splits (I’m not riding in the germy buses and subways anymor, but am driving alone on my car), temporal changes (work from anywhere, go to an office 1-2 days a week?), population residential shifts (I’m getting out of urban bacterial frappes).
So there’s your challenge: how often we surmise and speculate how things change. But you‘re living out such a new world...define it for us all and become an expert!