Components¶
Introduction¶
There are several components implemented, which form the essential parts of each traffic model in MINAMI. The components usually have a base class, and the acutal implementation will inherit the base class, thus ensuring the uniformness of the interface. Here is the list we implemented:
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Vehicle¶
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class
MNM_Veh
¶
Vehicle class represents the vehicle in real world, but it can be 1/100 of one actual vehicle, therefore it is able to simulate the continuous vehicle flow in flow theory.
Current the vehicle class has in inheritance since we only implement the standard vehicle, the truck/bus will be implemented shortly. We describe the member variables in vehicle class as follows:
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Vehicle_type
m_type
¶
-
MNM_Dlink *
m_current_link
¶ specify the current link of vehicle, initialized as NULL, will be the pointer to the dlink object.
-
TInt
m_start_time
¶
specify the realse time of the vehicle.
-
TInt
m_finish_time
¶
specify the finish time of the vehicle, if not finished then set it as -1.
determined by the routing model and used by the node model.
-
MNM_Destination *
m_dest
¶
the destination of the vehicle, determined when the vehicle is released.
-
MNM_Origin *
m_origin
¶
the destination of the vehicle, determined when the vehicle is released.
Node¶
-
class
MNM_Dnode
¶
The node model will manage the vehicle movement, the node model is only responsible for the vehicles’ merging/diverging behaviors, the path of each vehicle is determined by the routing model.
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TInt
m_node_ID
¶ node ID is used to identify the node.
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std::vector<MNM_Dlink *>
m_out_link_array
¶ contains the pointers for the in links, determined when hooking up the node and link.
Link¶
-
class
MNM_Dlink
¶
-
TInt
m_link_ID
¶ link ID is used to identify the link
-
TInt
m_number_of_lane
¶ number of the lane in one direction
-
TFlt
m_length
¶ lenght of the link, unit: meter
-
TFlt
m_ffs
¶ free flow speed, unit: meter/second
Routing¶
-
class
MNM_Routing
¶
The routing class manages the paths of vehicles, it is the crutial part of the dynamic traffic assignment model. In our implementation, the routing model will take the network statistics as input and compute the routing for all finished vehicles on each link. Therefore the routing take place after the link loading but bofore the node loading.