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drivecycle-0.1.0a0
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مشاهده بیشتر
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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Create drivecycles and energy consumption simulations for bus routes.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | drivecycle-0.1.0a0 |
| نام | drivecycle |
| نسخه کتابخانه | 0.1.0a0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Saadiq Mohiuddin |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/drivecycle/ |
| مجوز | - |
# Drive Cycle
*Drive Cycle* is python library that can be used to simulate trajectories (i.e. drive cycles) for public transit buses which can then be used for tasks like energy consumption simluations.
### Installation
Install the package in editable mode:
```pip install -e ./```
### Import Module
```python
from drivecycle import drivecycle, trajectory, utils, plots
```
### Plot Simple Tragectories
The `Trajectory` class can be used to generate a trajectory given some contraints such as distance, acceleration and start/end/target velocities. This current release only models constant acceleration trajectories however other models may be added in future.
```python
traj = trajectory.const_accel(vi=5, v_target=12, vf=8, di=0, df=150, step=0.1)
plots.plot_vt(traj, "plot_vt.png")
```
##### Velocity - Distance Plot
##### Velocity - Time Plot
##### Distance - Time Plot
### Generate Drive Cycle
Trajectories are grouped together to form drive cycles of a given path. See [sample](#sample-path-input) drive cycle input path. The `drivecycle` function may include a `stops` parameter that constrains which nodes (i.e. street interseciton or bus stops) the vehicle must stop at and for how long.
```python
# What nodes should we stop at and for how long (seconds)
stop={"bus_stop":30,"tertiary":10}
# Generate route drive cycle
route_drive_cycle = drivecycle.sequential(edges, stops=stop, stop_at_node=True, step=0.1)
```
#### Velocity - Distance Plot
##### Velocity - Time Plot
##### Distance - Time Plot
### Sample Path Input
A path graph data structure is created using OpenStreetMap (OSM) taxonomy. `intersection` denotes the edge that intersects the end node and may be another OSM `way` or simply a bus stop. For example `"intersection":["primary"]` indicates a primary road intersecting the end node.
```python
path = [
{
"way_id":1,
"speed":20,
"length":100,
"intersection":["primary"]
},
{
"way_id":2,
"speed":20,
"length":145,
"intersection":["primary"]
},
{
"speed":20,
"length":100,
"intersection":["bus_stop"]
},
{
"way_id":3,
"speed":50,
"length":150,
"intersection":["primary"]
},
{
"way_id":4,
"speed":50,
"length":100,
"intersection":["tertiary"]
},
{
"way_id":5,
"speed":20,
"length":100,
"intersection":["service","service"]
}
]
```
### Generate Path Graph
Drive Cycle include utils that can used to generate graphs usting `networkx`. These are helpful to simplify path graphs to reduce redundant nodes and edges that may cause trajectories to fail. It can also be used to embed stops in a given path graph.
```python
stops=[100,367] #linearly referenced stop locations
route_graph = utils.Graph(edges)
route_graph.include_stops(stops)
route_graph.consolidate_intersections(["tertiary", "secondary", "bus_stop"])
route_graph.simplify_graph(["tertiary", "secondary", "bus_stop"])
route_graph.get_edges()
```
### Generate Drivecycle using Valhalla Trace Attributes
Valhalla's [map matching API](https://valhalla.readthedocs.io/en/latest/api/map-matching/api-reference/) can be used to match a bus route geometry to OSM way ids. This can help us determine both road speeds and intersection locations along a route. Using the map matching Trace Attributes action, we can get a list of OSM edges the bus route travels along:
```python
[{'end_node': {'type': 'street_intersection',
'elapsed_time': 0.698,
'intersecting_edges': [{'road_class': 'service_other',
'begin_heading': 204,
'to_edge_name_consistency': False,
'from_edge_name_consistency': False}]},
'length': 0.007,
'names': ['48 Avenue NW'],
'speed': 35,
'way_id': 463682703},
{'end_node': {'type': 'street_intersection',
'elapsed_time': 7.607,
'intersecting_edges': [{'road_class': 'residential',
'begin_heading': 131,
'to_edge_name_consistency': False,
'from_edge_name_consistency': False}]},
'length': 0.067,
'names': ['48 Avenue NW'],
'speed': 35,
'way_id': 463682703}
.
.
.
```
Using the drivecycle apis listed above we can then generate a simulation drivecycle of the entire route:
نیازمندی
| مقدار | نام |
|---|---|
| - | numpy |
| - | networkx |
| - | scipy |
| - | matplotlib |
نحوه نصب
نصب پکیج whl drivecycle-0.1.0a0:
pip install drivecycle-0.1.0a0.whl
نصب پکیج tar.gz drivecycle-0.1.0a0:
pip install drivecycle-0.1.0a0.tar.gz