Traffic flow recovery

Traffic flow recovery#

Description

This analysis computes the damage to bridges, first calling the bridge damage analysis. It then uses nodes and links in traffic flow path and Average Daily Traffic (ADT) data of bridges to calculate a traffic flow network post-disaster recovery. Additionally, the analysis can be used in stochastic calculations with an integer value being imported to seed the random number generator.

The output of this analysis is a CSV file with recovery trajectory timelines and data.

Input Parameters

key name	type	name	description
`pm` ^*	`int`	Performance metrics	Name of the result dataset.
`ini_num_population` ^*	`int`	Population number	An initial population number.
`population_size` ^*	`int`	Population size	A population size.
`num_generation` ^*	`int`	Number generation	Number of iterations per scenario.
`mutation_rate` ^*	`float`	Mutation rate	Mutation rate for the NSGA-II algorithm used for recovery rate.
`crossover_rate` ^*	`float`	Crossover rate	Crossover rate for the NSGA-II algorithm used for recovery rate.
`num_cpu`	`int`	Number of CPUs	Number of CPUs used for parallel computations. Default 1.

Input Datasets

key name	type	name	description
`bridges` ^*	`ergo:bridges`	Bridge dataset	A bridge dataset.
`nodes` ^*	`ergo:roadNetwork`	Rad nodes	A road network dataset.
`links` ^*	`ergo:roadNetwork`	Road links	A road network dataset.
`bridge_damage_value` ^*	`incore:bridgeDamageValue`	Bridge damages	A bridge dataset.
`unrepaired_bridge` ^*	`incore:unrepairedBridge`	Unrepaired bridges	An unrepaired bridge dataset.
`ADT` ^*	`incore:ADT`	Bridge traffic	A dataset of daily traffic.

Output Datasets

key name	type	name	description
`optimal_solution_of_bridge_repair_schedule` ^*	`incore:transportationRepairSchedule`	Repair schedule	A dataset containing results (format: CSV).
`overall_traffic_flow_recovery_trajectory` ^*	`incore:trafficFlowRecovery`	Recovery trajectory	A dataset containing results (format: CSV).

(* required)

Execution

code snippet:

    # Create traffic flow recovery instance
    traffic_flow_recovery = TrafficFlowRecovery(client)

    # Load input datasets
    traffic_flow_recovery.load_remote_input_dataset("nodes", nodes)
    traffic_flow_recovery.load_remote_input_dataset("links", links)
    traffic_flow_recovery.load_remote_input_dataset('bridges', bridges)
    traffic_flow_recovery.load_remote_input_dataset('bridge_damage_value', bridge_damage)
    traffic_flow_recovery.load_remote_input_dataset('unrepaired_bridge', unrepaired)
    traffic_flow_recovery.load_remote_input_dataset('ADT', ADT_data)

    # Set analysis parameters
    traffic_flow_recovery.set_parameter("num_cpu", 4)
    traffic_flow_recovery.set_parameter("pm", 1)
    traffic_flow_recovery.set_parameter('ini_num_population', 5)
    traffic_flow_recovery.set_parameter("population_size", 3)
    traffic_flow_recovery.set_parameter("num_generation", 2)
    traffic_flow_recovery.set_parameter("mutation_rate", 0.1)
    traffic_flow_recovery.set_parameter("crossover_rate", 1.0)

    # Run traffic flow recovery analysis
    traffic_flow_recovery.run_analysis()

full analysis: traffic_flow_recovery.ipynb