Abstract: Even though automation of travel systems is already happening, it's important to know how the introduction of self-driving cars might change people's transportation habits because changes in these choices could have an effect on health as well as the long-term viability and efficiency of transportation systems. For this study to be useful in Australia, it had to fill in this information gap that had been seen. The people who answered gave information about their backgrounds, the ways they currently travel, the importance they thought certain aspects of transportation were, and their feelings about self-driving cars. Then, they read a story that had been shaped by the opinions of experts and that talked about a future where cars would drive themselves. After reading the story, the people who answered picked the types of transportation they would most likely use in that scenario. They used descriptive studies to look at how transport choices have changed and regression models to figure out the factors that would be used to predict how transport options will change in the future. A lot of people who answered said they wanted to use outdoor, shared, and public travel more in the future than they do now. Half as many chances were taken to use private transport. In general, better public transportation, a workable system for active transportation, and fairly cheap shared driverless cars were seen as positive changes in how people planned to use transportation in the imagined situation. In the event that politicians are able to take action to achieve these results, the autonomization of transportation is likely to result in good changes to society.

Yang Lu. “Autonomous Robots for Transport Applications”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.7 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0150705

@article{Lu2024,
title = {Autonomous Robots for Transport Applications},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150705},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150705},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {7},
author = {Yang Lu}
}