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Telematic applications for static transport

Kalasova A., Cernicky L.

Archives of Transport System Telematics

2012

Vol. 5, iss. 4

8-11

At rest, the transport is a factor that significantly affects the life of the city and limits its further development. The expansion of the motorization brings the need to solve the static transport. The number of cars is still rising and the car is parked 90% of its lifecycle time. Motorization is evolving faster than urban centres that just missed the trend for such a short time to respond. Nowadays, the quality requirements are still growing and therefore facilities and mechanisms, which operate in these transport systems, should be improved. The telematic systems in this area are mainly applied in parking guidance systems with connection to the Control Centre, systems of parking automats and their connection to the Control Centre, information systems in parking garages and also to the technological equipment in the car parks. There is a need to be aware of the affecting practically all the people who live in the city territory with the parking and solutions of the parking systems are highly critical monitored and evaluated by the public. Automated parking systems are solutions, which offer effective solutions in congested urban areas and the historic city centre. Parking places, which are using automated parking systems, cover approximately a half of the volume compared to conventional parking houses. From an operational point of view, they are less difficult for maintaining, offering the comfort of parking for each car, fully using the parking capacity and providing a high security. In our paper, we would like to describe a possibility of intelligent static transport solution in the cities especially that provided to automated parking systems, which have a high priority in congested cities.

A hybrid approach for scheduling transportation networks

Dridi M., Kacem I.

International Journal of Applied Mathematics and Computer Science

2004

Vol. 14, no 3

397-409

In this paper, we consider a regulation problem of an urban transportation network. From a given timetable, we aim to find a new schedule of multiple vehicles after the detection of a disturbance at a given time. The main objective is to find a solution maximizing the level of service for all passengers. This problem was intensively studied with evolutionary approaches and multi-agent techniques, but without identifying its type before. In this paper, we formulate the problem as a classical one in the case of an unlimited vehicle capacity. In the case of a limited capacity and an integrity constraint, the problem becomes difficult to solve. Then, a new coding and well-adapted operators are proposed for such a problem and integrated in a new evolutionary approach.