Travel-time is one of the most important pieces of information for both traffic management systems, such as Intelligent Transport Systems {ITS), and road users. Accurate dynamic travel-time information contributes to reducing transport congestion, cost and ameliorating environmental impacts. It can also help the commercial fleet to promote their service quality by delivery in particular time-windows. Predicted travel-time information could provide more flexible space for pre-trip and en-route scheduling. This research intends to adopt micro- simulation techniques for the development of travel-time prediction model in arterial roads. The methodology could minimise the difficulty in gaining traffic data and focus on the development of the prediction model for both transport and logistics applications. (a) For the covering entry of this conference, please see ITRD abstract no. E211903.
Samenvatting