openenv/pr_814/en/_app/immutable/nodes/31.39fbf64e.js

import{s as Yt,n as Ht,o as qt}from"../chunks/scheduler.2b22cead.js";import{S as Pt,i as Kt,e as r,s as n,c as i,h as ls,a as o,d as t,b as a,f as zt,g as M,j as m,k as Lt,l as es,m as s,n as T,t as p,o as U,p as J}from"../chunks/index.1a0e8013.js";import{C as ts,H as w,E as ss}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.bc7b309e.js";import{C as y}from"../chunks/CodeBlock.6c8835fe.js";function ns(wt){let j,Gl,Zl,Fl,c,Xl,u,xl,d,yt="Integration of traffic signal control with the OpenEnv framework via SUMO (Simulation of Urban MObility) and SUMO-RL.",zl,I,Ll,g,jt="This environment enables reinforcement learning for <strong>traffic signal control</strong> using SUMO, a microscopic traffic simulation package. Train RL agents to optimize traffic light timing and minimize vehicle delays.",Yl,f,ct="<strong>Key Features</strong>:",Hl,h,ut="<li><strong>Realistic traffic simulation</strong> via SUMO</li> <li><strong>Single-agent mode</strong> for single intersection control</li> <li><strong>Configurable rewards</strong> (waiting time, queue, pressure, speed)</li> <li><strong>Multiple networks</strong> supported (custom .net.xml and .rou.xml files)</li> <li><strong>Docker-ready</strong> with pre-bundled example network</li>",ql,C,Pl,A,Kl,b,le,$,ee,O,te,R,se,v,ne,k,ae,Q,dt="The observation is a vector containing:",ie,B,It="<li><strong>Phase one-hot</strong>: Current active green phase (one-hot encoded)</li> <li><strong>Min green flag</strong>: Binary indicator if minimum green time has passed</li> <li><strong>Lane densities</strong>: Number of vehicles / lane capacity for each incoming lane</li> <li><strong>Lane queues</strong>: Number of queued vehicles / lane capacity for each incoming lane</li>",Me,E,gt="Observation size varies by network topology (depends on number of phases and lanes).",Te,N,ft="<strong>Default (single-intersection)</strong>:",pe,S,ht="<li>4 green phases</li> <li>8 incoming lanes</li> <li>Observation size: ~21 elements</li>",Ue,V,Je,W,Ct="The action space is discrete and represents selecting the next green phase to activate.",re,_,At="<li><strong>Action type</strong>: Discrete</li> <li><strong>Action range</strong>: <code>[0, num_green_phases - 1]</code></li> <li><strong>Default (single-intersection)</strong>: 4 actions (one per green phase)</li>",oe,Z,bt="When a phase change is requested, SUMO automatically inserts a yellow phase before switching.",me,D,we,G,$t="Default reward function is <strong>change in cumulative waiting time</strong>:",ye,F,je,X,Ot="Positive rewards indicate waiting time decreased (good).",ce,x,ue,z,Rt="Set via <code>SUMO_REWARD_FN</code> environment variable:",de,L,vt="<li><strong><code>diff-waiting-time</code></strong> (default): Change in cumulative waiting time</li> <li><strong><code>average-speed</code></strong>: Average speed of all vehicles</li> <li><strong><code>queue</code></strong>: Negative total queue length</li> <li><strong><code>pressure</code></strong>: Pressure metric (incoming - outgoing vehicles)</li>",Ie,Y,ge,H,fe,q,kt="<thead><tr><th>Variable</th> <th>Default</th> <th>Description</th></tr></thead> <tbody><tr><td><code>SUMO_NET_FILE</code></td> <td><code>/app/nets/single-intersection.net.xml</code></td> <td>Network topology file</td></tr> <tr><td><code>SUMO_ROUTE_FILE</code></td> <td><code>/app/nets/single-intersection.rou.xml</code></td> <td>Vehicle routes file</td></tr> <tr><td><code>SUMO_NUM_SECONDS</code></td> <td><code>20000</code></td> <td>Simulation duration (seconds)</td></tr> <tr><td><code>SUMO_DELTA_TIME</code></td> <td><code>5</code></td> <td>Seconds between agent actions</td></tr> <tr><td><code>SUMO_YELLOW_TIME</code></td> <td><code>2</code></td> <td>Yellow phase duration (seconds)</td></tr> <tr><td><code>SUMO_MIN_GREEN</code></td> <td><code>5</code></td> <td>Minimum green time (seconds)</td></tr> <tr><td><code>SUMO_MAX_GREEN</code></td> <td><code>50</code></td> <td>Maximum green time (seconds)</td></tr> <tr><td><code>SUMO_REWARD_FN</code></td> <td><code>diff-waiting-time</code></td> <td>Reward function name</td></tr> <tr><td><code>SUMO_SEED</code></td> <td><code>42</code></td> <td>Random seed (use for reproducibility)</td></tr></tbody>",he,P,Ce,K,Qt="To use your own SUMO network:",Ae,ll,be,el,Bt="Your network directory should contain:",$e,tl,Et="<li><code>.net.xml</code> - Network topology (roads, junctions, traffic lights)</li> <li><code>.rou.xml</code> - Vehicle routes (trip definitions, flow rates)</li>",Oe,sl,Re,nl,ve,al,ke,il,Qe,Ml,Be,Tl,Ee,pl,Ne,Ul,Se,Jl,Ve,rl,We,ol,_e,ml,Nt="<li><strong>Reset time</strong>: 1-5 seconds (starts new SUMO simulation)</li> <li><strong>Step time</strong>: ~50-200ms per step (depends on network size)</li> <li><strong>Episode duration</strong>: Minutes (20,000 sim seconds with delta_time=5 → ~4,000 steps)</li>",Ze,wl,De,yl,St="For faster simulation:",Ge,jl,Vt="<li>Reduce <code>SUMO_NUM_SECONDS</code> for shorter episodes</li> <li>Increase <code>SUMO_DELTA_TIME</code> for fewer decisions</li> <li>Use simpler networks with fewer vehicles</li>",Fe,cl,Xe,ul,xe,dl,ze,Il,Wt="The default <code>single-intersection</code> network is a simple 4-way intersection with:",Le,gl,_t="<li><strong>4 incoming roads</strong> (North, South, East, West)</li> <li><strong>4 green phases</strong> (NS straight, NS left, EW straight, EW left)</li> <li><strong>Vehicle flow</strong>: Continuous stream with varying rates</li>",Ye,fl,He,hl,Zt="<li><strong>No GUI in Docker</strong>: SUMO GUI requires X server (not available in containers)</li> <li><strong>Single-agent only</strong>: Multi-agent (multiple intersections) coming in future version</li> <li><strong>Fixed network per container</strong>: Each container uses one network topology</li> <li><strong>Memory usage</strong>: ~500MB for small networks, 2-4GB for large city networks</li>",qe,Cl,Pe,Al,Ke,bl,lt,$l,et,Ol,Dt="This should be automatic in Docker. If running locally:",tt,Rl,st,vl,nt,kl,Gt="<li>Reduce simulation duration: <code>SUMO_NUM_SECONDS=5000</code></li> <li>Increase action interval: <code>SUMO_DELTA_TIME=10</code></li> <li>Use smaller networks with fewer vehicles</li>",at,Ql,it,Bl,Ft='<li><a href="https://sumo.dlr.de/docs/" rel="nofollow">SUMO Documentation</a></li> <li><a href="https://github.com/LucasAlegre/sumo-rl" rel="nofollow">SUMO-RL GitHub</a></li> <li><a href="https://peerj.com/articles/cs-575/" rel="nofollow">SUMO-RL Paper</a></li> <li><a href="https://github.com/jault/RESCO" rel="nofollow">RESCO Benchmarks</a></li>',Mt,El,Tt,Nl,Xt="If you use SUMO-RL in your research, please cite:",pt,Sl,Ut,Vl,Jt,Wl,xt="This integration is licensed under the BSD-style license. SUMO-RL and SUMO have their own licenses.",rt,_l,ot,Dl,mt;return c=new ts({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),u=new w({props:{title:"SUMO-RL Environment",local:"sumo-rl-environment",headingTag:"h1"}}),I=new w({props:{title:"Overview",local:"overview",headingTag:"h2"}}),C=new w({props:{title:"Quick Start",local:"quick-start",headingTag:"h2"}}),A=new w({props:{title:"Using Docker (Recommended)",local:"using-docker-recommended",headingTag:"h3"}}),b=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.sumo_rl_env <span class="hljs-keyword">import</span> SumoRLEnv, SumoAction

<span class="hljs-comment"># Automatically starts container</span>
env = SumoRLEnv.from_docker_image(<span class="hljs-string">&quot;sumo-rl-env:latest&quot;</span>)

<span class="hljs-comment"># Reset environment</span>
result = env.reset()
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Observation shape: <span class="hljs-subst">{result.observation.observation_shape}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Available actions: <span class="hljs-subst">{result.observation.action_mask}</span>&quot;</span>)

<span class="hljs-comment"># Take action (select next green phase)</span>
result = env.step(SumoAction(phase_id=<span class="hljs-number">1</span>))
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Reward: <span class="hljs-subst">{result.reward}</span>, Done: <span class="hljs-subst">{result.done}</span>&quot;</span>)

<span class="hljs-comment"># Get state</span>
state = env.state()
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Simulation time: <span class="hljs-subst">{state.sim_time}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Total vehicles: <span class="hljs-subst">{state.total_vehicles}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Mean waiting time: <span class="hljs-subst">{state.mean_waiting_time}</span>&quot;</span>)

<span class="hljs-comment"># Cleanup</span>
env.close()`,lang:"python",wrap:!1}}),$=new w({props:{title:"Building the Docker Image",local:"building-the-docker-image",headingTag:"h3"}}),O=new y({props:{code:"Y2QlMjBPcGVuRW52JTBBJTBBJTIzJTIwQnVpbGQlMjBiYXNlJTIwaW1hZ2UlMjBmaXJzdCUyMChpZiUyMG5vdCUyMGFscmVhZHklMjBidWlsdCklMEFkb2NrZXIlMjBidWlsZCUyMC10JTIwZW52dG9yY2gtYmFzZSUzQWxhdGVzdCUyMC1mJTIwc3JjJTJGb3BlbmVudiUyRmNvcmUlMkZjb250YWluZXJzJTJGaW1hZ2VzJTJGRG9ja2VyZmlsZSUyMC4lMEElMEElMjMlMjBCdWlsZCUyMFNVTU8tUkwlMjBlbnZpcm9ubWVudCUwQWRvY2tlciUyMGJ1aWxkJTIwLWYlMjBlbnZzJTJGc3Vtb19ybF9lbnYlMkZzZXJ2ZXIlMkZEb2NrZXJmaWxlJTIwLXQlMjBzdW1vLXJsLWVudiUzQWxhdGVzdCUyMC4=",highlighted:`<span class="hljs-built_in">cd</span> OpenEnv

<span class="hljs-comment"># Build base image first (if not already built)</span>
docker build -t envtorch-base:latest -f src/openenv/core/containers/images/Dockerfile .

<span class="hljs-comment"># Build SUMO-RL environment</span>
docker build -f envs/sumo_rl_env/server/Dockerfile -t sumo-rl-env:latest .`,lang:"bash",wrap:!1}}),R=new w({props:{title:"Running with Different Configurations",local:"running-with-different-configurations",headingTag:"h3"}}),v=new y({props:{code:"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",highlighted:`<span class="hljs-comment"># Default: single-intersection</span>
docker run -p 8000:8000 sumo-rl-env:latest

<span class="hljs-comment"># Longer simulation</span>
docker run -p 8000:8000 \\
  -e SUMO_NUM_SECONDS=50000 \\
  sumo-rl-env:latest

<span class="hljs-comment"># Different reward function</span>
docker run -p 8000:8000 \\
  -e SUMO_REWARD_FN=queue \\
  sumo-rl-env:latest

<span class="hljs-comment"># Custom seed for reproducibility</span>
docker run -p 8000:8000 \\
  -e SUMO_SEED=123 \\
  sumo-rl-env:latest`,lang:"bash",wrap:!1}}),k=new w({props:{title:"Observation",local:"observation",headingTag:"h2"}}),V=new w({props:{title:"Action Space",local:"action-space",headingTag:"h2"}}),D=new w({props:{title:"Rewards",local:"rewards",headingTag:"h2"}}),F=new y({props:{code:"cmV3YXJkJTIwJTNEJTIwLSh0b3RhbF93YWl0aW5nX3RpbWVfbm93JTIwLSUyMHRvdGFsX3dhaXRpbmdfdGltZV9wcmV2aW91cyk=",highlighted:'<span class="hljs-attribute">reward</span> <span class="hljs-operator">=</span> -(total_waiting_time_now - total_waiting_time_previous)',lang:"",wrap:!1}}),x=new w({props:{title:"Available Reward Functions",local:"available-reward-functions",headingTag:"h3"}}),Y=new w({props:{title:"Configuration",local:"configuration",headingTag:"h2"}}),H=new w({props:{title:"Environment Variables",local:"environment-variables",headingTag:"h3"}}),P=new w({props:{title:"Using Custom Networks",local:"using-custom-networks",headingTag:"h3"}}),ll=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.sumo_rl_env <span class="hljs-keyword">import</span> SumoRLEnv

env = SumoRLEnv.from_docker_image(
    <span class="hljs-string">&quot;sumo-rl-env:latest&quot;</span>,
    volumes={
        <span class="hljs-string">&quot;/path/to/your/nets&quot;</span>: {<span class="hljs-string">&quot;bind&quot;</span>: <span class="hljs-string">&quot;/nets&quot;</span>, <span class="hljs-string">&quot;mode&quot;</span>: <span class="hljs-string">&quot;ro&quot;</span>}
    },
    environment={
        <span class="hljs-string">&quot;SUMO_NET_FILE&quot;</span>: <span class="hljs-string">&quot;/nets/my-network.net.xml&quot;</span>,
        <span class="hljs-string">&quot;SUMO_ROUTE_FILE&quot;</span>: <span class="hljs-string">&quot;/nets/my-routes.rou.xml&quot;</span>,
    }
)`,lang:"python",wrap:!1}}),sl=new w({props:{title:"API Reference",local:"api-reference",headingTag:"h2"}}),nl=new w({props:{title:"SumoAction",local:"sumoaction",headingTag:"h3"}}),al=new y({props:{code:"JTQwZGF0YWNsYXNzJTBBY2xhc3MlMjBTdW1vQWN0aW9uKEFjdGlvbiklM0ElMEElMjAlMjAlMjAlMjBwaGFzZV9pZCUzQSUyMGludCUyMCUyMCUyMyUyMEdyZWVuJTIwcGhhc2UlMjB0byUyMGFjdGl2YXRlJTIwKDAlMjB0byUyMG51bV9waGFzZXMtMSklMEElMjAlMjAlMjAlMjB0c19pZCUzQSUyMHN0ciUyMCUzRCUyMCUyMjAlMjIlMjAlMjAlMjMlMjBUcmFmZmljJTIwc2lnbmFsJTIwSUQlMjAoZm9yJTIwbXVsdGktYWdlbnQp",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">SumoAction</span>(<span class="hljs-title class_ inherited__">Action</span>):
    phase_id: <span class="hljs-built_in">int</span>  <span class="hljs-comment"># Green phase to activate (0 to num_phases-1)</span>
    ts_id: <span class="hljs-built_in">str</span> = <span class="hljs-string">&quot;0&quot;</span>  <span class="hljs-comment"># Traffic signal ID (for multi-agent)</span>`,lang:"python",wrap:!1}}),il=new w({props:{title:"SumoObservation",local:"sumoobservation",headingTag:"h3"}}),Ml=new y({props:{code:"JTQwZGF0YWNsYXNzJTBBY2xhc3MlMjBTdW1vT2JzZXJ2YXRpb24oT2JzZXJ2YXRpb24pJTNBJTBBJTIwJTIwJTIwJTIwb2JzZXJ2YXRpb24lM0ElMjBMaXN0JTVCZmxvYXQlNUQlMjAlMjAlMjMlMjBPYnNlcnZhdGlvbiUyMHZlY3RvciUwQSUyMCUyMCUyMCUyMG9ic2VydmF0aW9uX3NoYXBlJTNBJTIwTGlzdCU1QmludCU1RCUyMCUyMCUyMyUyMFNoYXBlJTIwZm9yJTIwcmVzaGFwaW5nJTBBJTIwJTIwJTIwJTIwYWN0aW9uX21hc2slM0ElMjBMaXN0JTVCaW50JTVEJTIwJTIwJTIzJTIwVmFsaWQlMjBhY3Rpb24lMjBpbmRpY2VzJTBBJTIwJTIwJTIwJTIwc2ltX3RpbWUlM0ElMjBmbG9hdCUyMCUyMCUyMyUyMEN1cnJlbnQlMjBzaW11bGF0aW9uJTIwdGltZSUwQSUyMCUyMCUyMCUyMGRvbmUlM0ElMjBib29sJTIwJTIwJTIzJTIwRXBpc29kZSUyMGZpbmlzaGVkJTBBJTIwJTIwJTIwJTIwcmV3YXJkJTNBJTIwT3B0aW9uYWwlNUJmbG9hdCU1RCUyMCUyMCUyMyUyMFJld2FyZCUyMGZyb20lMjBsYXN0JTIwYWN0aW9uJTBBJTIwJTIwJTIwJTIwbWV0YWRhdGElM0ElMjBEaWN0JTIwJTIwJTIzJTIwU3lzdGVtJTIwbWV0cmljcw==",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">SumoObservation</span>(<span class="hljs-title class_ inherited__">Observation</span>):
    observation: <span class="hljs-type">List</span>[<span class="hljs-built_in">float</span>]  <span class="hljs-comment"># Observation vector</span>
    observation_shape: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]  <span class="hljs-comment"># Shape for reshaping</span>
    action_mask: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]  <span class="hljs-comment"># Valid action indices</span>
    sim_time: <span class="hljs-built_in">float</span>  <span class="hljs-comment"># Current simulation time</span>
    done: <span class="hljs-built_in">bool</span>  <span class="hljs-comment"># Episode finished</span>
    reward: <span class="hljs-type">Optional</span>[<span class="hljs-built_in">float</span>]  <span class="hljs-comment"># Reward from last action</span>
    metadata: <span class="hljs-type">Dict</span>  <span class="hljs-comment"># System metrics</span>`,lang:"python",wrap:!1}}),Tl=new w({props:{title:"SumoState",local:"sumostate",headingTag:"h3"}}),pl=new y({props:{code:"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",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">SumoState</span>(<span class="hljs-title class_ inherited__">State</span>):
    episode_id: <span class="hljs-built_in">str</span>  <span class="hljs-comment"># Unique episode ID</span>
    step_count: <span class="hljs-built_in">int</span>  <span class="hljs-comment"># Steps taken</span>
    net_file: <span class="hljs-built_in">str</span>  <span class="hljs-comment"># Network file path</span>
    route_file: <span class="hljs-built_in">str</span>  <span class="hljs-comment"># Route file path</span>
    sim_time: <span class="hljs-built_in">float</span>  <span class="hljs-comment"># Current simulation time</span>
    total_vehicles: <span class="hljs-built_in">int</span>  <span class="hljs-comment"># Total vehicles in simulation</span>
    total_waiting_time: <span class="hljs-built_in">float</span>  <span class="hljs-comment"># Cumulative waiting time</span>
    mean_waiting_time: <span class="hljs-built_in">float</span>  <span class="hljs-comment"># Mean waiting time</span>
    mean_speed: <span class="hljs-built_in">float</span>  <span class="hljs-comment"># Mean vehicle speed</span>
    <span class="hljs-comment"># ... configuration parameters</span>`,lang:"python",wrap:!1}}),Ul=new w({props:{title:"Example Training Loop",local:"example-training-loop",headingTag:"h2"}}),Jl=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.sumo_rl_env <span class="hljs-keyword">import</span> SumoRLEnv, SumoAction
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

<span class="hljs-comment"># Start environment</span>
env = SumoRLEnv.from_docker_image(<span class="hljs-string">&quot;sumo-rl-env:latest&quot;</span>)

<span class="hljs-comment"># Training loop</span>
<span class="hljs-keyword">for</span> episode <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">10</span>):
    result = env.reset()
    episode_reward = <span class="hljs-number">0</span>
    steps = <span class="hljs-number">0</span>

    <span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done <span class="hljs-keyword">and</span> steps &lt; <span class="hljs-number">1000</span>:
        <span class="hljs-comment"># Random policy (replace with your RL agent)</span>
        action_id = np.random.choice(result.observation.action_mask)

        <span class="hljs-comment"># Take action</span>
        result = env.step(SumoAction(phase_id=<span class="hljs-built_in">int</span>(action_id)))

        episode_reward += result.reward <span class="hljs-keyword">or</span> <span class="hljs-number">0</span>
        steps += <span class="hljs-number">1</span>

        <span class="hljs-comment"># Print progress every 100 steps</span>
        <span class="hljs-keyword">if</span> steps % <span class="hljs-number">100</span> == <span class="hljs-number">0</span>:
            state = env.state()
            <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Step <span class="hljs-subst">{steps}</span>: &quot;</span>
                  <span class="hljs-string">f&quot;reward=<span class="hljs-subst">{result.reward:<span class="hljs-number">.2</span>f}</span>, &quot;</span>
                  <span class="hljs-string">f&quot;vehicles=<span class="hljs-subst">{state.total_vehicles}</span>, &quot;</span>
                  <span class="hljs-string">f&quot;waiting=<span class="hljs-subst">{state.mean_waiting_time:<span class="hljs-number">.2</span>f}</span>&quot;</span>)

    <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Episode <span class="hljs-subst">{episode}</span>: total_reward=<span class="hljs-subst">{episode_reward:<span class="hljs-number">.2</span>f}</span>, steps=<span class="hljs-subst">{steps}</span>&quot;</span>)

env.close()`,lang:"python",wrap:!1}}),rl=new w({props:{title:"Performance Notes",local:"performance-notes",headingTag:"h2"}}),ol=new w({props:{title:"Simulation Speed",local:"simulation-speed",headingTag:"h3"}}),wl=new w({props:{title:"Optimization",local:"optimization",headingTag:"h3"}}),cl=new w({props:{title:"Architecture",local:"architecture",headingTag:"h2"}}),ul=new y({props:{code:"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",highlighted:`┌─────────────────────────────────┐
│ Client: SumoRLEnv               │
│  .step(<span class="hljs-attr">phase_id=</span><span class="hljs-number">1</span>)              │
└──────────────┬──────────────────┘
               │ HTTP
┌──────────────▼──────────────────┐
│ FastAPI Server (Docker)         │
│   SumoEnvironment               │
│     ├─ Wraps sumo_rl           │
│     ├─ Single-agent mode       │
│     └─ No GUI                  │
└──────────────┬──────────────────┘
               │
┌──────────────▼──────────────────┐
│ SUMO Simulator                  │
│  - Reads .net.<span class="hljs-keyword">xml</span> <span class="hljs-title">(network</span>)     │
│  - Reads .rou.<span class="hljs-keyword">xml</span> <span class="hljs-title">(routes</span>)      │
│  - Simulates traffic flow       │
│  - Provides observations        │
└─────────────────────────────────┘`,lang:"",wrap:!1}}),dl=new w({props:{title:"Bundled Network",local:"bundled-network",headingTag:"h2"}}),fl=new w({props:{title:"Limitations",local:"limitations",headingTag:"h2"}}),Cl=new w({props:{title:"Troubleshooting",local:"troubleshooting",headingTag:"h2"}}),Al=new w({props:{title:"Container won’t start",local:"container-wont-start",headingTag:"h3"}}),bl=new y({props:{code:"JTIzJTIwQ2hlY2slMjBsb2dzJTBBZG9ja2VyJTIwbG9ncyUyMCUzQ2NvbnRhaW5lci1pZCUzRSUwQSUwQSUyMyUyMFZlcmlmeSUyMG5ldHdvcmslMjBmaWxlcyUyMGV4aXN0JTBBZG9ja2VyJTIwcnVuJTIwc3Vtby1ybC1lbnYlM0FsYXRlc3QlMjBscyUyMC1sYSUyMCUyRmFwcCUyRm5ldHMlMkY=",highlighted:`<span class="hljs-comment"># Check logs</span>
docker logs &lt;container-id&gt;

<span class="hljs-comment"># Verify network files exist</span>
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    title = </span><span class="hljs-template-variable">{{SUMO-RL}</span><span class="language-xml">},
    year = </span><span class="hljs-template-variable">{2019}</span><span class="language-xml">,
    publisher = </span><span class="hljs-template-variable">{GitHub}</span><span class="language-xml">,
    journal = </span><span class="hljs-template-variable">{GitHub repository}</span><span class="language-xml">,
    howpublished = </span><span class="hljs-template-variable">{\\url{https://github.com/LucasAlegre/sumo-rl}</span><span class="language-xml">},
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