The present disclosure relates to systems and methods for determining traffic information of a region. The method may include determining a first region and a second region. The method may also include obtaining a set of links associated with the first region and the second region. The method may also include obtaining a plurality of driving routes of a plurality of vehicles in the first region and the second region in a predetermined time period. The method may also include selecting one or more driving routes that traverse a first boundary of the first region and a second boundary of the second region based on the set of links associated with the first region and the second region. The method may also include determining traffic information of the first region based on information related to the one or more selected driving routes.

Scalable urban traffic control system has been developed to address current challenges and offers a new approach to real-time, adaptive control of traffic signal networks. The methods and system described herein exploit a novel conceptualization of the signal network control problem as a decentralized process, where each intersection in the network independently and asynchronously solves a single-machine scheduling problem in a rolling horizon fashion to allocate green time to its local traffic, and intersections communicate planned outflows to their downstream neighbors to increase visibility of future incoming traffic and achieve coordinated behavior. The novel formulation of the intersection control problem as a single-machine scheduling problem abstracts flows of vehicles into clusters, which enables orders-of-magnitude speedup over previous time-based formulations and is what allows truly real-time (second-by-second) response to changing conditions.

Scalable urban traffic control system has been developed to address current challenges and offers a new approach to real-time, adaptive control of traffic signal networks. The methods and system described herein exploit a novel conceptualization of the signal network control problem as a decentralized process, where each intersection in the network independently and asynchronously solves a single-machine scheduling problem in a rolling horizon fashion to allocate green time to its local traffic, and intersections communicate planned outflows to their downstream neighbors to increase visibility of future incoming traffic and achieve coordinated behavior. The novel formulation of the intersection control problem as a single-machine scheduling problem abstracts flows of vehicles into clusters, which enables orders-of-magnitude speedup over previous time-based formulations and is what allows truly real-time (second-by-second) response to changing conditions.

The navigational system comprises a plurality of mobile and stationary telemetry-devices, recording spatial data-artifacts, transmitting forecasted positional phase-changes, density point clustering schema that Maptrac's each transport imechanixm; providing calculated digital navigation directives transmitted to a plurality of devices equipped with pAvics, Obvipro and/or other certified compliant telemetry-devices, attached to and or carried by humans, motorcycles, bicycles, skis, snow boards and or a plurality of transport imechanixms; telematic-data of each transmits collected data-relics through a subnaysys network-topology provided by telemetry mobility, viewable and/or audibly heard on iNavX2 virtual interface and or iNavCom centers and/or a facilities interface.

A set of incoming lanes are identified within a pre-determined proximity of a traffic signal as candidate lanes to receive a go-signal from the traffic signal. A prioritized overall lane wait time is calculated for each incoming lane. Selected lanes receive the go-signal in the current iteration, based on the prioritized overall lane wait time. An amount of time to allocate to the go-signal is calculated, based on the number of vehicles to flush from the selected lanes. The go-signal is presented to the selected lanes for the allocated time, including non-conflicting lanes. A set of metrics are collected including throughput of vehicles leaving the pre-determined proximity of the traffic signal. Based on the metrics, a time allocation is determined for the next iteration of the go-signal, parameters are updated for the prioritized overall lane wait time, and the next iteration of the traffic signal is initiated.

Data is received from each of a plurality of vehicles proximate to an intersection indicating a kinetic energy and a time to the intersection. An optimized timing of a traffic light is determined based on an aggregation of the kinetic energies and times to intersection. A timing of the traffic is modified according to the optimized timing.

A method at a computing device in an intelligent transportation system for reconfiguring a road segment, the method including receiving a request from a second computing device associated with a vehicle to change a configuration for the road segment; determining a road segment configuration; and reconfiguring the road segment based on the determined road segment configuration.

A device for calculating a traffic index that is required for calculation of a signal control parameter. The device includes: a first calculation unit that calculates normalized data representing a ratio of a traffic variable of an inflow road at a target intersection to a saturation flow rate; and a second calculation unit that calculates, by using the normalized data, the traffic index that is defined by a formula in which the traffic variable of the inflow road is included in a numerator and the saturation flow rate is included in a denominator.

A device for calculating a traffic index that is required for calculation of a signal control parameter. The device includes: a first calculation unit that calculates normalized data representing a ratio of a traffic variable of an inflow road at a target intersection to a saturation flow rate; and a second calculation unit that calculates, by using the normalized data, the traffic index that is defined by a formula in which the traffic variable of the inflow road is included in a numerator and the saturation flow rate is included in a denominator.

Traffic light phase timing effectiveness is determined. Connected vehicle data indicative of traffic conditions for one or more intersections is received. Factors from the connected vehicle data that are indicative of intersection performance are identified. The factors are weighted according to defined weights to determine an intersection score. Based on the score failing to meet one or more criteria, an alert to adjust intersection cycle is provided.