Dear Sir,
Following is the code to find shortest path using ACO.
*I have tried a lot But I don't know why i am getting value of Co2 to 00
for all the edges. Please help to resolve this issue.*
*import randomgraph = sumolib.net.readNet('Dijkstra1.net.xml')class
ACOAlgorithm(): ''' Ant colony optimization algorithms to find
shortest path ''' def __init__(self): def set_graph(self,
Objgraph): #Initialize pheromone values to the length of edge for
edge in graph.getEdges(): Co2_Value =
get_pollution_level_Of_Edge(edge.getID()) def
process(self,start_node,end_node): while True:
self._start_travel(start_node)
self._find_edge(start_node,end_node) if
self._finish_travel(end_node): break def
_start_travel(self,start_node): def
_find_edge(self,start_node,end_node): def
_finish_travel(self,end_node): return self.remain_path < self.size
def _have_ant_completed(self,end_node):def
get_pollution_level_Of_Edge(EdgeId): #Get Edge Carbon Emission
Value_co2 = traci.edge.getCO2Emission(EdgeId) print 'Co2 Value of
'+ str(EdgeId) + ' Is : '+ str(Value_co2) return Value_co2def
generate_routefile(): with open("dijkstra_000.rou.xml", "w") as routes:
print >> routes, """<routes> <vType id="vehicle1" accel="0.8"
decel="4.5" sigma="0.5" length="5" minGap="2.5" maxSpeed="16.67"
guiShape="passenger"/> <route id="1" edges="1 3 5 9" /><flow
id="myflow" begin="0" end="3600" number="1000" from="1" to="18"/>
</routes>"""def main(): start_node = 9 end_node = 2
traci.init(PORT) Objgraph_mat = Graph_mat() aco = ACOAlgorithm()
for edge in graph.getEdges(): FromNode =
str(int(str(edge.getFromNode().getID())) - 1) ToNode =
str(int(str(edge.getToNode().getID())) - 1)
Objgraph_mat.add_vertex(Vertex(FromNode))
Objgraph_mat.add_vertex(Vertex(ToNode)) for edge in graph.getEdges():
Objgraph_mat.add_edge(int(str(edge.getFromNode().getID())) -
1,int(str(edge.getToNode().getID()))-1,edge.getLength())
#Objgraph_mat.print_graph() aco.set_graph(Objgraph_mat)
aco.process(start_node,end_node) #create the new route for vehicle
traci.route.add("0", edges) #assign the new route for vehicle with id
vehicle1 traci.vehicle.add("vehicle0","0") for i in range(3000): #
or whatever nulmber of steps you want to simulate
traci.simulationStep() traci.close() sys.stdout.flush() def
get_options(): optParser = optparse.OptionParser()
optParser.add_option("--nogui", action="store_true", default=False,
help="run the commandline version of sumo") options, args =
optParser.parse_args() return optionsdef
get_EdgeId_From_vertex(prenode,nextnode): # this is the main entry point
of this scriptif __name__ == "__main__": options = get_options() #
this script has been called from the command line. It will start sumo as a
# server, then connect and run if options.nogui: sumoBinary =
checkBinary('sumo') else: sumoBinary = checkBinary('sumo-gui')
generate_routefile() # this is the normal way of using traci. sumo is
started as a # subprocess and then the python script connects and runs
sumoProcess = subprocess.Popen([sumoBinary, "-c", "dijkstra.sumo.cfg",
"--tripinfo-output", "tripinfo.xml",
"--remote-port",str(PORT),"--device.emissions.probability","1","--emission-output","emmission_aco.xml"],
stdout=sys.stdout, stderr=sys.stderr) main() sumoProcess.wait()*
--
*:)*
Bijal Varia
_______________________________________________
sumo-user mailing list
[email protected]
To change your delivery options, retrieve your password, or unsubscribe from
this list, visit
https://www.eclipse.org/mailman/listinfo/sumo-user
