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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

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Resources

Stars

4 stars

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4 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

Topics

Resources

Stars

4 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

Topics

Resources

Stars

4 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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578 Commits

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NameName
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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

Topics

Resources

Stars

4 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Latest commit

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578 Commits

Folders and files

NameName
Last commit message
Last commit date

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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

Topics

Resources

Stars

4 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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578 Commits

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NameName
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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

Topics

Resources

Stars

4 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

Topics

Resources

Stars

4 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

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578 Commits

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SimRa-Visualization

This project is part of the SimRa research project which includes the following subprojects:

In this project, we collect – with a strong focus on data protection and privacy – data on such near crashes to identify when and where bicyclists are especially at risk. We also aim to identify the main routes of bicycle traffic in Berlin. To obtain such data, we have developed a smartphone app that uses GPS information to track routes of bicyclists and the built-in acceleration sensors to pre-categorize near crashes. After their trip, users are asked to annotate and upload the collected data, pseudonymized per trip. For more information see our website.

Install

To install the frontend, simply run:

docker-compose up -d

Please keep in mind that the environment variables VUE_APP_API_URL and VUE_APP_TILE_URL in .env and .env.prod might need to be updated. The latter file is used with docker-compose and overwrites values in the default .env file.

Development Setup

For development, install your dependencies and develop locally:

cd frontend
npm install
npm run serve

A local webserver on port 8090 will serve the application.

About

Web application for visualizing the SimRa dataset

Topics

Resources

Stars

4 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages