Abstract: A method is provided for predicting load of traffic of vehicles that are travelling according to non reference route plan, provided with Dynamic Route Guidance capability of their PMS, in a Forward Time Interval related Route Segment and according to a predetermined protocol between mobile systems and a non mobile system platform of a SODMS. Using mobile units, a traffic prediction query is receiving according to a predetermined differential traffic load match process.

Abstract: A method is provided for predicting load of traffic of vehicles that are travelling according to non reference route plan, provided with Dynamic Route Guidance capability of their PMMS, in a Forward Time Interval related Route Segment and according to a predetermined protocol between mobile systems and a non mobile system of a SODMS. Using mobile units, a traffic prediction query is receiving according to a predetermined differential traffic load match process.

Abstract: A method is provided for predicting load of traffic of vehicles that are travelling according to non reference route plan, provided with Dynamic Route Guidance capability of their PMMS, in a Forward Time Interval related Route Segment and according to a predetermined protocol between mobile systems and a non mobile system platform of a SODMS. Using mobile units, a traffic prediction query is receiving according to a predetermined differential traffic load match process.

Abstract: A method is provided for predicting load of traffic of vehicles that are travelling according to non reference route plan, provided with Dynamic Route Guidance capability of their PMMS, in a Forward Time Interval related Route Segment and according to a predetermined protocol between mobile systems and a non mobile system platform of a SODMS. Using mobile units, a traffic prediction query is receiving according to a predetermined differential traffic load match process.

Abstract: A method is provided for predicting load of traffic of vehicles that are travelling according to non reference route plan, provided with Dynamic Route Guidance capability of their PMMS, in a Forward Time Interval related Route Segment and according to a predetermined protocol between mobile systems and a non mobile system platform of a SODMS. Using mobile units, a traffic prediction query is receiving according, to a predetermined differential traffic load match process.

Abstract: System and method for mapping parameters of a queue of a road congestion. Length of the road congestion, motion rate and average arrival rate to the road congestion may be used to determine an expected delay in traveling as well as trends, using special radio systems and also existing radio networks such as Public Land Mobile Networks (PLMN) and Private/Public Data Networks (PDN). The mapping is performed relative to a front end of a queue of a road congestion. The mapping system may construct snapshots of mapping samples received from a small percentage of pre-designated probes. The mapping samples are received in response to predefined broadcast control messages. The determination of the length of a road congestion may be based on a direct approach, in dynamic conditions that include variations in the arrival rate of vehicles to the road congestion and the departure rate of vehicles from the congestion over time.

Abstract: System and method for mapping parameters of traffic congestion, for example, a road congestion, relative to a focus is disclosed. Mapping of the road congestion may include determination of an average length of the road congestion over a time interval, motion rate in the road congestion and arrival rate to the road congestion. These parameters, in turn, may be used to determine an expected delay in traveling throughout the road congestion as well as trends, i.e., changes with time, in the road congestion. The mapping is performed relative to the mapping focus, typically the front end of a road congestion. The mapping system may construct snapshots of mapping samples received from a small percentage of predestinated probes, e.g., a small percentage of vehicles equipped with an appropriate receiver and transmitter. The mapping samples are preferably received in response to predefined broadcast queries sent from the mapping system.

Abstract: This invention provides a system and method for mapping parameters of a queue of a traffic congestion, for example, a road congestion. Mapping of the road congestion may include determination of an average length of the road congestion over a time interval, motion rate in the road congestion and average arrival rate to the road congestion. These parameters, in turn, may be used to determine an expected delay in traveling throughout the road congestion as well as trends, i.e., changes with time, in the road congestion, using special radio systems and also existing radio networks such as Public Land Mobile Networks (PLMN) and Private/Public Data Networks (PDN). Examples of PLMN are GSM, IS-54, IS-136, PCS-1900, IS-95, GPRS and EDGE for GSM, WCDMA, cdma 2000, and others. Examples of PDN are Mobitex, CDPD and others.

Abstract: This invention provides a system and method for mapping parameters of a traffic congestion, for example, a road congestion, relative to a focus. Mapping of the road congestion may include determination of an average length of the road congestion over a time interval, motion rate in the road congestion and arrival rate to the road congestion. These parameters, in turn, maybe used to determine an expected delay in traveling throughout the road congestion as well as trends, i.e., changes with time, in the road congestion. The mapping is performed relative to the mapping focus, typically the front end of a road congestion. The mapping system may construct snapshots of mapping samples received from a small percentage of predesignated probes, e.g., a small percentage of vehicles equipped with an appropriate receiver and transmitter. The mapping samples are preferably received in response to predefined broadcast queries sent from the mapping system.