Ejemplo n.º 1
0
def traffic() -> Traffic:
    car1 = TrafficActor(
        name="car",
        speed=Distribution(sigma=0.2, mean=1.0),
    )
    car2 = TrafficActor(
        name="car",
        speed=Distribution(sigma=0.2, mean=0.8),
        lane_changing_model=LaneChangingModel(impatience=1, cooperative=0.25),
        junction_model=JunctionModel(drive_after_yellow_time=1.0, impatience=0.5),
    )

    return Traffic(
        flows=[
            Flow(
                route=Route(
                    begin=(f"edge-{r[0]}", 0, 30), end=(f"edge-{r[1]}", 0, -30)
                ),
                rate=1.0,
                actors={
                    car1: 0.5,
                    car2: 0.5,
                },
            )
            for r in [("west-WE", "east-WE"), ("east-EW", "west-EW")]
        ]
    )
Ejemplo n.º 2
0
    name="car",
    speed=Distribution(sigma=0.2, mean=0.5),
    lane_changing_model=LaneChangingModel(impatience=0, cooperative=0.5),
    junction_model=JunctionModel(drive_after_yellow_time=1.0, impatience=0.5),
)

car_type = patient_car
car_name = "patient_car"

traffic = Traffic(
    flows=[
        Flow(
            route=RandomRoute(),
            begin=0,
            end=1
            * 60
            * 60,  # make sure end time is larger than the time of one episode
            rate=30,
            actors={car_type: 1},
        )
        for i in range(sv_num)
    ]
)

print(f"generate flow with {sv_num} social {car_name} vehicles in {scenario_path} ")

gen_traffic(
    scenario_path,
    traffic,
    name=f"{sv_num}_{car_name}",
    output_dir=scenario_path,
    seed=seed,
Ejemplo n.º 3
0
    Flow,
    Route,
    RandomRoute,
    TrafficActor,
    Mission,
)

scenario = os.path.dirname(os.path.realpath(__file__))

agent_missions = [
    Mission(Route(begin=("left_in", 0, 80), end=("merged", (0, ), 40))),
    Mission(Route(begin=("left_in", 0, 50), end=("merged", (0, ), 40))),
    Mission(Route(begin=("ramp_in", 0, 80), end=("merged", (0, ), 60))),
    Mission(Route(begin=("ramp_in", 0, 50), end=("merged", (0, ), 60))),
]

gen_missions(scenario, agent_missions, overwrite=True)

gen_traffic(
    scenario,
    Traffic(flows=[
        Flow(
            route=RandomRoute(),
            rate=3600,
            actors={TrafficActor(name="car"): 1.0},
        )
    ]),
    name="random",
    overwrite=True,
)
Ejemplo n.º 4
0
    ("west-WE", "south-NS"),
    ("north-NS", "west-EW"),
    ("east-EW", "north-SN"),
]

for name, routes in {
        "vertical":
        vertical_routes,
        "horizontal":
        horizontal_routes,
        "unprotected_left":
        turn_left_routes,
        "turns":
        turn_left_routes + turn_right_routes,
        "all":
        vertical_routes + horizontal_routes + turn_left_routes +
        turn_right_routes,
}.items():
    traffic = Traffic(flows=[
        Flow(
            route=Route(
                begin=(f"edge-{r[0]}", 0, "random"),
                end=(f"edge-{r[1]}", 0, "random"),
            ),
            rate=1,
            actors={patient_car: 1.0},
        ) for r in routes
    ])

    gen_traffic(scenario, traffic, name=name, overwrite=True)
Ejemplo n.º 5
0
def generate_left_turn_missions(
    mission,
    route_distributions,
    route_lanes,
    speed,
    map_dir,
    level_name,
    save_dir,
    stopwatcher_behavior,
    stopwatcher_route,
    seed,
    intersection_name,
    traffic_density,
):
    # dont worry about these seeds, theyre used by sumo
    sumo_seed = random.choice([0, 1, 2, 3, 4])
    stopwatcher_info = None
    stopwatcher_added = False
    if stopwatcher_behavior:
        stopwatcher_info = {
            "behavior": stopwatcher_behavior,
            "direction": get_direction(stopwatcher_route),
        }

    random.seed(seed)
    np.random.seed(seed)
    all_flows = []
    metadata = {"routes": {}, "total_vehicles": 0, "stopwatcher": None}

    scenario = save_dir + f"-flow-{seed}"

    # Remove old traffic route if it exists(otherwise, won't update to new flows)
    if os.path.exists(f"{scenario}/traffic/all.rou.xml"):
        shutil.rmtree(scenario)

    for route_key, route_info in route_distributions["routes"].items():
        # to skip None
        if route_info:
            if stopwatcher_behavior:  # put the ego on the side road
                ego_start_lane, ego_end_lane = 0, 0
                mission_start, mission_end = "south-side", "dead-end"
                ego_start_pos, ego_end_pos = 100, 5
                ego_num_lanes = 1
            else:
                mission_start, mission_end = mission["start"], mission["end"]
                ego_start_lane, ego_end_lane = (
                    route_lanes[mission_start] - 1,
                    route_lanes[mission_end] - 1,
                )
                ego_start_pos, ego_end_pos = (
                    random.randint(50, 120),
                    random.randint(50, 150),
                )
                ego_num_lanes = route_lanes[mission_start]

            ego_route = Route(
                begin=(f"edge-{mission_start}", ego_start_lane, ego_start_pos),
                end=(f"edge-{mission_end}", ego_end_lane, ego_end_pos),
            )
            flows, vehicles_log_info = generate_social_vehicles(
                ego_start_lane=ego_start_lane,
                route_distribution=route_info["distribution"],
                begin_time_init=route_info["begin_time_init"],
                num_vehicles=route_info["vehicles"],
                route_direction=get_direction(route_key),
                route_lanes=route_lanes,
                route_has_turn=route_info["has_turn"],
                start_end_on_different_lanes_probability=route_info[
                    "start_end_on_different_lanes_probability"],
                deadlock_optimization=route_info["deadlock_optimization"],
                stopwatcher_info=stopwatcher_info,
            )
            if (stopwatcher_behavior and len(flows) > 0 and
                    get_direction(route_key) == stopwatcher_info["direction"]):
                stopwatcher_added = True
                print(
                    f'stop watcher added to {get_direction(route_key)} flows among {route_info["vehicles"]} vehicles!'
                )
            all_flows.extend(flows)
            metadata["routes"][route_key] = vehicles_log_info
    scenario = save_dir + f"-flow-{seed}"
    if stopwatcher_behavior:
        if not stopwatcher_added and level_name != "no-traffic":
            print(
                f'There was no matching flows for stopwatcher, adding it to {stopwatcher_info["direction"]}.'
            )
            # vehicles_log_info[f'stopwatcher_{stopwatcher_info["behavior"]}']["count"] += 1
            all_flows.append(
                generate_stopwatcher(
                    stopwatcher_behavior=stopwatcher_info["behavior"],
                    stopwatcher_route=stopwatcher_info["direction"],
                    start_lane_id=0,
                    end_lane_id=0,
                ))
        scenario += f"-stopwatcher-{stopwatcher_info['behavior']}"

    copy_map_files(scenario, map_dir, speed)
    if stopwatcher_behavior or "ego_hijacking_params" not in route_distributions:
        gen_missions(scenario, [Mission(ego_route)])
    else:
        speed_m_per_s = float("".join(filter(str.isdigit, speed))) * 5.0 / 18.0
        hijacking_params = route_distributions["ego_hijacking_params"]
        zone_range = hijacking_params["zone_range"]
        waiting_time = hijacking_params["wait_to_hijack_limit_s"]
        start_time = hijacking_params["start_time"]

        if start_time == "default":
            start_time = random.randint((LANE_LENGTH // speed_m_per_s), 60)
        gen_missions(
            scenario,
            [
                Mission(
                    ego_route,
                    # optional: control hijacking time, place, and emission.
                    start_time=
                    start_time,  # when to start hijacking (might start later)
                    entry_tactic=TrapEntryTactic(
                        wait_to_hijack_limit_s=
                        waiting_time,  # when to give up on hijacking and start emitting a social vehicle instead
                        zone=MapZone(
                            start=(
                                f'edge-{mission["start"]}',
                                0,
                                ego_start_pos + zone_range[0],
                            ),
                            length=zone_range[1],
                            n_lanes=route_lanes[mission["start"]],
                        ),  # area to hijack
                        exclusion_prefixes=tuple(
                        ),  # vehicles to be excluded (check vehicle ids)
                    ),
                ),
            ],
        )

    traffic = Traffic(flows=all_flows)
    gen_traffic(scenario, traffic, name=f"all", seed=sumo_seed)
    # patch: remove route files from traffic folder to make intersection empty
    if traffic_density == "no-traffic":

        os.remove(f"{scenario}/traffic/all.rou.xml")
    if stopwatcher_behavior:
        metadata["stopwatcher"] = {
            "direction": stopwatcher_info["direction"],
            "behavior": stopwatcher_info["behavior"],
        }
    metadata["intersection"] = {
        "type": intersection_name[-1],
        "name": intersection_name,
    }
    metadata["total_vehicles"] = len(all_flows)
    metadata["seed"] = seed
    metadata["flow_id"] = f"flow_{seed}"
    with open(f"{scenario}/metadata.json", "w") as log:
        json.dump(metadata, log)
Ejemplo n.º 6
0
            ("west-WE", "east-WE"),
            ("east-EW", "west-EW"),
        ],
        "all": [
            ("west-WE", "east-WE"),
            ("east-EW", "west-EW"),
            ("west-WE", "south-NS"),
            ("east-EW", "south-NS"),
        ],
}.items():
    traffic = Traffic(flows=[
        Flow(
            route=Route(begin=(f"edge-{r[0]}", 0, 20),
                        end=(f"edge-{r[1]}", 0, -20)),
            rate=total_rate,
            # Share the total rate amongst all flows
            actors={
                impatient_car: (1.0 / len(routes)) * 0.5,
                patient_car: (1.0 / len(routes)) * 0.5,
            },
        ) for r in routes
    ])

    gen_traffic(scenario, traffic, name=name)

gen_traffic(
    scenario,
    Traffic(flows=[
        Flow(
            route=RandomRoute(),
            rate=3600,
            actors={TrafficActor(name="car"): 1.0},
Ejemplo n.º 7
0
    TrafficActor,
)

ego_missions = [
    Mission(
        route=Route(begin=("edge-west-WE", 0, 10),
                    end=("edge-west-WE", 0, "max")),
        task=CutIn(),
    ),
]

scenario = Scenario(
    traffic={
        "basic":
        Traffic(flows=[
            Flow(
                route=Route(begin=("edge-west-WE", 1, 10),
                            end=("edge-west-WE", 1, "max")),
                rate=400,
                actors={TrafficActor(name="car"): 1.0},
            )
        ])
    },
    ego_missions=ego_missions,
)

gen_scenario(
    scenario=scenario,
    output_dir=Path(__file__).parent,
)
Ejemplo n.º 8
0
    Mission(
        route=Route(begin=("edge-south-SN", 1, 10), end=("edge-north-SN", 1, 8)),
    ),
]

stright_traffic_actor = TrafficActor(
    name="car",
    speed=Distribution(sigma=0.2, mean=1),
    lane_changing_model=LaneChangingModel(impatience=0),
    junction_model=JunctionModel(
        drive_after_red_time=1.5, drive_after_yellow_time=1.0, impatience=0.5
    ),
)
scenario = Scenario(
    traffic={
        "basic": Traffic(
            flows=[
                Flow(
                    route=RandomRoute(),
                    rate=1,
                    actors={stright_traffic_actor: 1.0},
                )
                for i in range(social_vehicle_num)
            ]
        )
    },
    ego_missions=ego_missions,
)

gen_scenario(scenario=scenario, output_dir=Path(__file__).parent)
Ejemplo n.º 9
0
def generate_left_turn_missions(
    missions,
    shuffle_missions,
    route_distributions,
    route_lanes,
    speed,
    map_dir,
    level_name,
    save_dir,
    stopwatcher_behavior,
    stopwatcher_route,
    seed,
    stops,
    bubbles,
    intersection_name,
    traffic_density,
):
    # dont worry about these seeds, theyre used by sumo
    sumo_seed = random.choice([0, 1, 2, 3, 4])
    stopwatcher_info = None
    stopwatcher_added = False
    if stopwatcher_behavior:
        stopwatcher_info = {
            "behavior": stopwatcher_behavior,
            "direction": get_direction(stopwatcher_route),
        }

    random.seed(seed)
    np.random.seed(seed)
    all_flows = []
    metadata = {"routes": {}, "total_vehicles": 0, "stopwatcher": None}

    scenario = save_dir + f"-flow-{seed}"

    # Remove old traffic route if it exists(otherwise, won't update to new flows)
    if os.path.exists(f"{scenario}/traffic/all.rou.xml"):
        shutil.rmtree(scenario)

    for route_key, route_info in route_distributions["routes"].items():
        # to skip None
        if route_info:
            ego_routes = [
                ego_mission_config_to_route(
                    ego_mission_config=ego_mission_config,
                    route_lanes=route_lanes,
                    stopwatcher_behavior=stopwatcher_behavior,
                )
                for ego_mission_config in missions
            ]
            # Not all routes need to have a custom start/end offset
            if "pos_offsets" in route_info:
                pos_offsets = route_info["pos_offsets"]
            else:
                pos_offsets = None
            flows, vehicles_log_info = generate_social_vehicles(
                route_distribution=route_info["distribution"],
                begin_time_init=route_info["begin_time_init"],
                num_vehicles=route_info["vehicles"],
                route_direction=get_direction(route_key),
                route_lanes=route_lanes,
                route_has_turn=route_info["has_turn"],
                start_end_on_different_lanes_probability=route_info[
                    "start_end_on_different_lanes_probability"
                ],
                stops=stops,
                deadlock_optimization=route_info["deadlock_optimization"],
                pos_offsets=pos_offsets,
                stopwatcher_info=stopwatcher_info,
                traffic_params={"speed": speed, "traffic_density": traffic_density},
            )
            if (
                stopwatcher_behavior
                and len(flows) > 0
                and get_direction(route_key) == stopwatcher_info["direction"]
            ):
                stopwatcher_added = True
                print(
                    f'stop watcher added to {get_direction(route_key)} flows among {route_info["vehicles"]} vehicles!'
                )
            all_flows.extend(flows)
            metadata["routes"][route_key] = vehicles_log_info
    scenario = save_dir + f"-flow-{seed}"
    if stopwatcher_behavior:
        if not stopwatcher_added and level_name != "no-traffic":
            print(
                f'There was no matching flows for stopwatcher, adding it to {stopwatcher_info["direction"]}.'
            )
            # vehicles_log_info[f'stopwatcher_{stopwatcher_info["behavior"]}']["count"] += 1
            all_flows.append(
                generate_stopwatcher(
                    stopwatcher_behavior=stopwatcher_info["behavior"],
                    stopwatcher_route=stopwatcher_info["direction"],
                    start_lane_id=0,
                    end_lane_id=0,
                )
            )
        scenario += f"-stopwatcher-{stopwatcher_info['behavior']}"

    copy_map_files(scenario, map_dir, speed)

    vehicles_to_not_hijack = []
    traffic = Traffic(flows=all_flows)
    try:
        gen_traffic(scenario, traffic, name=f"all", seed=sumo_seed)
        if stops:
            add_stops_to_traffic(scenario, stops, vehicles_to_not_hijack)
    except Exception as exception:
        print(exception)

    # Patch: Remove route files from traffic folder to make intersection empty.
    if traffic_density == "no-traffic":
        os.remove(f"{scenario}/traffic/all.rou.xml")

    if stopwatcher_behavior or "ego_hijacking_params" not in route_distributions:
        mission_objects = [Mission(ego_route) for ego_route in ego_routes]
    else:
        speed_m_per_s = float("".join(filter(str.isdigit, speed))) * 5.0 / 18.0
        hijacking_params = route_distributions["ego_hijacking_params"]
        zone_range = hijacking_params["zone_range"]
        waiting_time = hijacking_params["wait_to_hijack_limit_s"]
        start_time = (
            hijacking_params["start_time"]
            if hijacking_params["start_time"] != "default"
            else random.randint((LANE_LENGTH // speed_m_per_s), 60)
        )
        mission_objects = [
            Mission(
                ego_route,
                # Optional: control hijacking time, place, and emission.
                start_time=start_time,  # When to start hijacking (might start later).
                entry_tactic=TrapEntryTactic(
                    wait_to_hijack_limit_s=waiting_time,  # When to give up hijacking.
                    zone=MapZone(
                        start=(
                            ego_route.begin[0],
                            0,
                            ego_route.begin[2] + zone_range[0],
                        ),
                        length=zone_range[1],
                        n_lanes=(ego_route.begin[1] + 1),
                    ),  # Area to hijack.
                    exclusion_prefixes=vehicles_to_not_hijack,  # Don't hijack these.
                ),
            )
            for ego_route in ego_routes
        ]
    # Shuffle the missions so agents don't do the same route all the time.
    if shuffle_missions:
        random.shuffle(mission_objects)
    gen_missions(scenario, mission_objects)

    if bubbles:
        bubble_objects = [
            bubble_config_to_bubble_object(
                scenario, bubble_config, vehicles_to_not_hijack
            )
            for bubble_config in bubbles
        ]
        gen_bubbles(scenario, bubble_objects)

    if stopwatcher_behavior:
        metadata["stopwatcher"] = {
            "direction": stopwatcher_info["direction"],
            "behavior": stopwatcher_info["behavior"],
        }
    metadata["intersection"] = {
        "type": intersection_name[-1],
        "name": intersection_name,
    }
    metadata["total_vehicles"] = len(all_flows)
    metadata["seed"] = seed
    metadata["flow_id"] = f"flow_{seed}"
    with open(f"{scenario}/metadata.json", "w") as log:
        json.dump(metadata, log)
Ejemplo n.º 10
0
)

horizontal_routes = [("west-WE", "east-WE"), ("east-EW", "west-EW")]
turn_left_routes = [("east-EW", "south-NS")]
turn_right_routes = [("west-WE", "south-NS")]

for name, routes in {
        "horizontal": horizontal_routes,
        "turns": turn_left_routes + turn_right_routes,
}.items():
    traffic = Traffic(flows=[
        Flow(
            route=Route(begin=(f"edge-{r[0]}", 0, "random"),
                        end=(f"edge-{r[1]}", 0, "max")),
            rate=random.randint(50, 100),
            actors={
                cooperative_car: 0.35,
                car: 0.20,
                aggressive_car: 0.45
            },
        ) for r in routes
    ])

    for seed in [0, 5]:
        gen_traffic(
            scenario,
            traffic,
            name=f"{name}-{seed}",
            seed=seed,
        )

# Social Agents
Ejemplo n.º 11
0
seed(seed_)

scenario_path = os.path.join(os.path.dirname(os.path.realpath(__file__)),
                             "../dataset_public/3lane")

traffic_actor = TrafficActor(
    name="car",
    speed=Distribution(sigma=0.2, mean=0.8),
)

# add 10 social vehicles with random routes.
traffic = Traffic(flows=[
    # generate flows last for 10 hours
    Flow(
        route=RandomRoute(),
        begin=0,
        end=10 * 60 * 60,
        rate=25,
        actors={traffic_actor: 1},
    ) for i in range(10)
])

gen_traffic(
    scenario_path,
    traffic,
    name="all",
    output_dir=scenario_path,
    seed=seed_,
    overwrite=True,
)