Sentence examples for responsive transportation from inspiring English sources

To answer this request in many cases the physical solution is to realize a demand responsive transportation system (DRTS).

The framework for social learning through participation provides insights on the relationship between the quality of local participatory processes and their contribution to social learning and a shift in paradigm on socially responsive transportation planning.

Demand Responsive Transportation systems are a kind of hybrid transportation approach between a taxi and a bus that try to address these problems with routes and frequencies that may vary according to the actual observed demand.

Demand responsive transportation services are needed, e.g. in remote rural areas, where no general public transportation systems exist, as a complementary service to available public transportation systems for the elderly or disabled, or in the area of patient transportation to and from hospitals and other medical facilities.

However, due to the application oriented character of this problem, the objectives considered as well as the constraints imposed vary considerably; rather recent surveys covering DAPRs and demand responsive transportation are due to Cordeau and Laporte [1] and Parragh et al. [2].

In this study, we propose an innovative concept for robust demand-responsive transportation (DRT) systems where vehicles may deviate from the planned route to accept late requests, which are unknown during the planning stage.

Demand Responsive Transport systems (DRT) that provide a share transportation services with flexible routes and focus on optimizing of economic and environmental value are becoming an important part of public transportation.

In this paper, we investigate travelers' day-to-day modal choice in a bi-modal transportation system with responsive transit services under various economic objectives.

The interactive report invites readers to explore the history and geography of this responsive "shadow" transportation system.

This algorithm is ready to support a Demand Responsive Transportation System in which we face the problem of quickly evaluate a good-quality schedule for the vehicles and provide fast response to the users.

The identified transit modes based on AVs are the individual cars, the demand-responsive public transportation with small or medium sized pods and the high capacity public transportation on arterial routes.