The purpose of multi-modal route planning is to provide the traveler with optimal, feasible and personalized route between origin and destination, which may involve public and private transportation modes. The strategy driven approach (i.e. routing by certain predefined transfer order) is useful but can hardly provide free combination of multiple travel modes and some feasible results may be co...

We present an algorithm to find optimal routes in a multi-modal public transportation network. Our model takes into account many realistic features such as walking between multi-modal stations, transfer times, traffic days, multiple objectives and finding connections between geographical locations rather than just source and destination stations. In order to provide useful routing directions, w...

Multi-commodity rebalancing plays a critical role before and during the attack of large-scale disasters. In practice, some relief centers can be out reach from ground for vehicles due to road disruption. Accordingly, alternative transportation systems are essential maximize fairness minimize total time, simultaneously. However, little study has reported on this issue humanitarian logistics. To ...

This paper introduces a Travel Demand Management (TDM) model in order to decrease the transportation externalities by affecting on passengers’travel choices. Thus, a bi-objective bi-modal optimization model for road pricing is developed aiming to enhance environmental and social sustainability by considering to minimize the air pollution and maximize the social welfare as its objectives. This m...

The purpose of Multi-modal Multi-criteria Personalized Route Planning (MMPRP) is to provide an optimal route between an origin-destination pair by considering weights of effective criteria in a way this route can be a combination of public and private modes of transportation. In this paper, the fuzzy analytical hierarchy process (fuzzy AHP) and the quantifier-guided ordered weighted averaging (...

In this paper we present a multi-modal security-transportation model to allocate security resources within a chemical supply chain which is characterized by the use of different transport modes, each having their own security features. We consider security-related risks so as to take measures against terrorist acts which could target critical transportation systems. The idea of addressing secur...

Multi-dimensional data (i.e., data referenced in one, two, three, and four dimensions) are often managed by transportation agencies with databases and technologies that cannot be integrated due in part to the lack of a comprehensive model for location referencing of the data. This lack of a comprehensive location referencing system data model limits organizations in implementing improved soluti...

We describe the operational planning system POP developed for Danzas Euronet, a merger of Deutsche Post Transport and Danzas NTO. As of November 1997, the system has been daily used for the transport planning of on average 4000 container-orders a day on train and vehicles in Germany. Important features include the involvement of many practical constraints as well as the requirement to balance t...

This research studies a transportation problem to minimize total cost under the rough interval approximation by considering multi-modal transport framework, referred here as Multi-Modal Transportation Problem (MMTP). The parameters of MMTP are intervals, because is chosen from real-life scenario. To solve environment, we employ chance-constrained programming and expected value operator for then...

The ambition of this research was to explore ways of providing personalised, context sensitive information to public transport travellers: can generic information be replaced by individualised snippets of information tailored to help the traveller with his or her decision making? Using an ontological approach, we explicitly model the relationships between various types of information and travel...