Integrating passenger and freight transport systems, known as co-modality, is becoming more feasible due to recent developments in information communication technologies (ICT) such smart phones global position systems (GPS). This paper uses simulation of an on-demand transportation scheme which passengers parcels can travel together explore the benefits co-modality when compared existing schemes. It shown that, depending on demand, provide improved experiences for both operators passengers/customers.

Collaborative transportation has been proposed as a potential solution to decrease congestion, reduce environmental effects of transport, and provide options those with no or restricted travel options. One such system is demand-responsive in which passengers share vehicle, usually bus, but can be picked up dropped off at passenger-specified location time. However, these systems are expensive implement require long trials order gain traction, effective simulation required explore their...

Considering the sprawl of cities, conventional public transport (CPT) with fixed route and schedule becomes less efficient desirable every day. However, emerging technologies in computation communication are facilitating more adaptive types transport, such as Demand Responsive Transport (DRT) systems, which operate according to demand. It is crucial study feasibility advantages these systems before implementation prevent failure financial loss. In this work, a realistic model provided by...

Planning public transport services for areas of low population density is important to enable travel by those without convenient options. In such areas, transit vehicles frequently with few passengers or even no on board and thereby incur more cost the providers. Demand-responsive transportation (DRT) are potentially an efficient mobility solution this problem. The choice a DRT scheme because different types schemes may produce performances in same area demand. Although many have some...

Transport models are used to evaluate new infrastructure and public transport services, varied levels of demand, ideas for demand management. Exploring these proposals virtually is easier than implementation testing in situ. However, existing based around traditional forms transportation. As part a feature analysis using case study approach, three different simulation packages (a simple custom-developed package, traffic microsimulation, agent-based simulation) develop demonstrate simulations...

Joint activities have been investigated primarily in the context of household-based models travel demand. The joint decision requires agreement about several issues. Each participant, on one hand, tries to cooperate with others reach an activity and, other maximize his or her own benefit. Given such a semicooperative environment, methods scheduling cannot be directly extended. Negotiation is suitable approach multiple issues and decide activity. This study adopted multiplayer, multi-issue,...

The modelling of pedestrian behaviour in a real-world environment is complex problem, mainly due to the unpredictable nature human decision making. Agent-oriented simulation moves away from traditional all-knowing and "controlling" simulations towards reality, where pedestrians exhibit different behaviours depending on their knowledge other personal characteristics. We explore whether belief-desire-intention (BDI) architecture appropriate for this domain using design methodology Prometheus...

This paper introduces an adaptive clustering-based transfer detection framework. Existing algorithms are based on a walking-based approach. But in approach it is difficult to set deterministic walking threshold. However during people generally move slowly or wait for while and thus the spatio-temporal points located close each other tend form clusters. To mitigate such problems density-based fuzzy proposed detecting transfers activities performed transfers.

Decision making in models of activity and travel behaviour is usually individual-based focuses on outcomes rather than the decision process. Using agent-based modelling techniques incorporating interaction protocols into model can assist decision-making more detail. This paper describes an social generation scheduling, which utility-based agents interact with each other to schedule activities. Six different are tested. The authors show that reflect minor changes protocol, while changing...

In this paper, we describe the use of an agent-based simulation language, JACK Sim. Sim is one several add-ons for agent language JACK, which based on belief-desire-intention architecture. The implementation a prototype model pedestrian way finding behaviour described and then evaluated using software engineering quality principles. A recent addition to world, solves problems encountered with alone certain simulations provides solid framework creating discrete-event BDI technology.