No abstract

No abstract

No abstract

Shifting people from driving to using public transportation has been important in alleviating urban traffic congestion. Intelligent transportation system technologies applied to public transportation can provide useful data to system operators and users and increase the use and productivity of high-occupancy vehicles. Integration of metropolitan rapid transit, feeder buses, and taxipooling can attract more public transportation users. Advanced taxipooling transfer assignment systems, a type of advanced public transportation systems program, aims to apply advanced technologies to taxi operations, including dynamic taxi fleet management, taxipooling strategies, and safety monitoring systems. Success in using taxis as a feeder service to mass transit systems requires advanced information technologies such as the Global Positioning System, geographic information systems, wireless communications, and, most important, an efficient taxi dispatching algorithm. The objectives and background of a dedicated taxipooling fleet in a metropolitan area are given. Also, a real-time, two-step taxipooling dispatching system is presented. A case study with parameter values obtained from Taiwan is explained; the simulation result is interpreted to illustrate the feasibility of the algorithm. Sensitivity analysis proves the robustness of the dispatching algorithm and shows the flexibility decision makers can have to serve certain purposes. Assumptions and constraints of the proposed dispatching system are evaluated, and the possibility of system expansion is discussed.

To achieve automation in ITS (Intelligent Transportation System) environments, integrations for existing traffic management systems as well as various vehicle-centered systems need to be done without modification. This is in particular essential for an automated emergency vehicle preemption system, where traffic signal preemption should be more accurate, smooth, and secure. Current researches for ITS middleware do not give much thought on interoperability and performance, thus they cannot support such automation framework. This paper proposes Bevor, a semantic-based ITS middleware for emergency vehicle preemption based on NTCIP (U. S. National Transportation Communications for ITS Protocol). By utilizing NTCIP protocols in Communication Layer, Bevor achieves communication and data interoperability across most devices and equipments; the deployment of NTCIP STMF also significantly improved the effectiveness of transmission. The Service Layer of Bevor is designed with the Web 3.0 framework and XML exchange, enabling easy access to semantic data as well as operations such as event detection, policy matching, etc. A prototype system was implemented, and the experimental results show that Bevor offers a great interoperability, more flexible automation control, semantic reuse, and improved performance.