For effective crowd mobility, smart cities must have transportation. Smart need a transportation system that is intelligent, simple, and effective. Here creative idea for modernizing the current public transit system. Hardware modules based on Internet of Things (IoT) are required implementation discussed in this work. Traffic circumstances extra elements been added to Dijkstra’s shortest path ...

Road freight transportation is a major contributor to carbon dioxide equivalent emissions. Reducing these emissions in transportation route planning requires an understanding of vehicle emission models and their inclusion into the existing optimization methods. This paper provides a review of recent research on green road freight transportation.

Unlike widely available literatures in hazardous material (HAZMAT) transportation that basically aim at finding non dominated paths for a given origin-destination pair, our main focus in this study is on vehicle routing problem with time window (VRPTW) aspect of HAZMAT transportation problem that has received very less attention in literatures. We present a new multi-objective optimization mode...

Each year, more than three million animals are transported from farms to abattoirs in Sweden. Animal transport is related to economic and environmental costs and a negative impact on animal welfare. Time and the number of pick-up stops between farms and abattoirs are two key parameters for animal welfare. Both are highly dependent on efficient and qualitative transportation planning, which may ...

In this project, we describe a real-time transportation route selection policy with traffic considerations. It is a dynamic policy that has a global perspective of the real-time traffic status. The A* search algorithm[4] is used to find the optimal route and the traffic status is the heuristic during the search. We created a map to simulate a real-word transportation network and a traffic file ...

When tourists are at a destination, they typically search for information in the Local Tourist Organizations. There, the staff determines the profile of the tourists and their restrictions. Combining this information with their up-to-date knowledge about the local attractions and public transportation, they suggest a personalized route for the tourist agenda. Finally, they fine tune up this rou...

Background. Bus transit time prediction is to predict how long it takes for a bus to travel from point A to point B. Good prediction helps with urban transportation planning and bus riders’ time planning. Artificial neural networks have been proven to work well in this field. Aim. This project aims to make good travel time predictions for both route and segments of route with the bus GPS data u...