Transportation demand forecasting is a critical precondition of optimal online transportation dispatch, which will greatly reduce drivers’ wasted mileage and customers’ waiting time, contributing to economic environmental sustainability. Though various methods have been developed, the core spatio-temporal complexity remains challenging from three perspectives: (1) Compound spatial relationships...

The concept of Demand Responsive Transport (DRT) describes a technology-enabled shared mobility service that has flexible operating schedule and/or provides virtual stops routes. While these on-demand services are not new, the developments in communication and tracking technology (vehicle positioning systems) have revived past decade. benefits adopting demand responsive transport for intra-comm...

There are several methods, in literature, for finding the fuzzy optimal solution of fully fuzzy transportation problems (transportation problems in which all the parameters are represented by fuzzy numbers). In this paper, the shortcomings of some existing methods are pointed out and to overcome these shortcomings, two new methods (based on fuzzy linear programming formulation and classical tra...