How to Calculate Distance on Google Map

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How to Calculate Distance on Google Maps

Your comprehensive guide and interactive tool.

Google Maps Distance Calculator

Enter the start and end points below to estimate the distance. For precise routing and traffic conditions, use the full Google Maps application.

Enter a valid address, city, or landmark.
Enter a valid address, city, or landmark.
Driving Walking Bicycling Transit Select your preferred mode of transport.

Your Estimated Distance

— km
Estimated Travel Time:
Distance (Miles):
Mode Used:
Note: This calculator provides an estimate using the Google Maps API. Actual distances and times may vary due to traffic, road closures, and specific routes.

Distance vs. Time Comparison

Estimated distance and time for different travel modes.

Travel Mode Comparison

Comparison of travel modes for your route.
Mode Estimated Distance (km) Estimated Distance (Miles) Estimated Travel Time
Enter start and end points to see comparison.

What is Calculating Distance on Google Maps?

Calculating distance on Google Maps refers to the process of determining the length of a path between two or more geographic locations using the functionalities provided by Google Maps. This isn't just about a straight line (as the crow flies), but often involves complex algorithms that consider road networks, topography, traffic conditions, and selected travel modes to provide a realistic estimate.

Anyone who needs to understand the spatial relationship between places can benefit from learning how to calculate distance on Google Maps. This includes:

  • Travelers: Planning road trips, estimating fuel costs, and gauging travel times.
  • Logistics and Delivery Services: Optimizing delivery routes, calculating shipping costs, and scheduling deliveries.
  • Real Estate Professionals: Assessing proximity to amenities, workplaces, and transportation hubs.
  • Event Planners: Understanding travel logistics for attendees.
  • Cyclists and Hikers: Mapping out routes and estimating effort.

A common misconception is that Google Maps always provides the shortest path. While it aims for efficiency, the "shortest" path can be interpreted differently (shortest in distance, fastest in time, or easiest to navigate). Another misconception is that the distance calculated is fixed; it's dynamic and heavily influenced by real-time factors like traffic, especially for driving routes. Understanding how to calculate distance on Google Maps involves recognizing these nuances.

Distance on Google Maps Formula and Mathematical Explanation

Google Maps doesn't rely on a single, simple formula like Euclidean distance for its primary calculations. Instead, it utilizes a sophisticated system that integrates several mathematical and algorithmic concepts. The core of calculating route distance involves graph theory and network analysis. Here's a simplified breakdown of the underlying principles:

The Haversine Formula (for straight-line distance):

While not used for road routes, the Haversine formula is fundamental for calculating the great-circle distance between two points on a sphere, given their longitudes and latitudes. This is often a baseline or used for initial proximity checks.

Formula:

a = sin²(Δφ/2) + cos φ₁ ⋅ cos φ₂ ⋅ sin²(Δλ/2)

c = 2 ⋅ atan2( √a, √(1−a) )

d = R ⋅ c

Key Variables for Haversine Formula:

Haversine Formula Variables
Variable Meaning Unit Typical Range
φ Latitude Radians -π/2 to +π/2
λ Longitude Radians -π to +π
Δφ Difference in latitudes Radians 0 to π
Δλ Difference in longitudes Radians 0 to 2π
R Earth's radius Kilometers (or Miles) ~6,371 km (or ~3,959 miles)
a, c Intermediate values Unitless 0 to 1 (for a), 0 to π (for c)
d Great-circle distance Kilometers (or Miles) > 0

Road Network Routing (More Complex):

For actual driving, walking, or cycling routes, Google Maps uses a highly detailed database of roads, paths, and transit lines. This forms a massive graph where intersections are nodes and road segments are edges. Algorithms like Dijkstra's algorithm or A* search are employed to find the shortest path (often optimized for time) through this graph, considering factors like speed limits, one-way streets, turn restrictions, and real-time traffic data.

Key Factors Considered:

  • Road Network Graph: Representing all traversable paths.
  • Edge Weights: Primarily travel time, but also distance, and sometimes complexity (e.g., difficult turns).
  • Traffic Data: Real-time and historical data to adjust edge weights dynamically.
  • Mode of Transport: Different rules apply (e.g., no driving on bike paths).

Therefore, there isn't a single, simple "Google Maps distance formula" publicly available, but rather a complex system integrating geospatial data, graph algorithms, and real-time analytics.

Practical Examples (Real-World Use Cases)

Understanding how to calculate distance on Google Maps is crucial for various scenarios. Here are a couple of practical examples:

Example 1: Planning a Road Trip

Sarah is planning a weekend road trip from Los Angeles, California, to Las Vegas, Nevada. She wants to know the approximate driving distance and time.

  • Starting Point: Los Angeles, CA
  • Ending Point: Las Vegas, NV
  • Travel Mode: Driving

Using the Calculator/Google Maps:

Inputting these details into the calculator (or directly into Google Maps) yields results such as:

  • Estimated Distance: Approximately 435 km (270 miles)
  • Estimated Travel Time: Around 4 to 5 hours (depending heavily on traffic leaving LA and road conditions).

Interpretation: Sarah can now budget for fuel based on the distance and plan her departure time to avoid the worst of the traffic, perhaps leaving early Saturday morning. She also knows that factoring in a stop or two, the trip will likely consume a significant portion of her day.

Example 2: Delivery Route Optimization

A local bakery, "Sweet Treats," needs to deliver a cake to a customer across town and wants to estimate the delivery time and distance for their driver.

  • Starting Point: Sweet Treats Bakery, 123 Main St, Anytown
  • Ending Point: 456 Oak Ave, Anytown
  • Travel Mode: Driving

Using the Calculator/Google Maps:

The calculator shows:

  • Estimated Distance: Approximately 15 km (9.3 miles)
  • Estimated Travel Time: Around 25-35 minutes (this is crucial, as it accounts for city driving and potential traffic).

Interpretation: The bakery's dispatcher can use this information to provide the customer with an accurate delivery window. They can also see that making another delivery on the same route within this timeframe might be feasible, helping optimize their driver's schedule. This highlights how understanding how to calculate distance on Google Maps aids business efficiency.

How to Use This Google Maps Distance Calculator

Our calculator is designed for simplicity and speed, helping you quickly estimate distances and travel times. Follow these steps:

  1. Enter Starting Point: In the "Starting Point" field, type the address, city, or a well-known landmark where your journey begins. Be as specific as possible for better accuracy.
  2. Enter Ending Point: Similarly, enter the destination details in the "Ending Point" field.
  3. Select Travel Mode: Choose your preferred mode of transportation from the dropdown menu (Driving, Walking, Bicycling, Transit). This selection significantly impacts the calculated route, distance, and time.
  4. Calculate: Click the "Calculate Distance" button.

Reading the Results:

  • Primary Highlighted Result: This displays the main estimated distance in kilometers (km).
  • Estimated Travel Time: Shows the approximate duration of the journey based on the selected travel mode and typical conditions.
  • Distance (Miles): Provides the equivalent distance in miles for broader understanding.
  • Mode Used: Confirms the travel mode selected for the calculation.
  • Comparison Tables & Charts: These visual aids help you compare how different travel modes might affect your journey's distance and time.

Decision-Making Guidance:

Use these results to make informed decisions. For instance, if the driving time is too long due to traffic, you might consider cycling or public transport if feasible. If planning a multi-stop trip, calculate each leg individually to optimize your overall route. Remember, these are estimates; always factor in potential delays and the need for a buffer time, especially for critical appointments. Our tool is a great starting point for understanding how to calculate distance on Google Maps for practical planning.

Key Factors That Affect Google Maps Distance Results

While our calculator and Google Maps provide excellent estimates, several dynamic factors can influence the final calculated distance and, more significantly, the travel time. Understanding these is key to interpreting the results accurately:

  1. Real-Time Traffic Conditions: This is arguably the most significant factor affecting driving, transit, and sometimes even cycling times. Congestion, accidents, or road construction can drastically alter the quickest route and total time, even if the distance remains the same. Google Maps constantly updates its traffic data based on anonymized location information from users.
  2. Route Choice Algorithm: Google Maps doesn't just find *a* route; it finds the *recommended* route, typically optimized for the fastest travel time. However, users can often select alternative routes offered, which might be slightly longer in distance but preferable for other reasons (e.g., avoiding highways, more scenic). Our calculator uses the primary recommendation.
  3. Time of Day and Day of Week: Even without specific incidents, traffic patterns vary predictably. Rush hour results in longer travel times than midday. Weekend traffic might differ from weekday traffic. Google's algorithms incorporate historical data to predict these variations.
  4. Accuracy of Map Data: The underlying road network, speed limits, turn restrictions, and one-way directions are based on Google's mapping data. While extensive, this data isn't perfect and can sometimes be outdated, especially in rapidly developing areas or following sudden infrastructure changes.
  5. Specific Route Preferences: Users can sometimes set preferences like "avoid tolls" or "avoid highways." These settings change the routing algorithm's constraints, potentially leading to longer distances and different travel times than a route without these restrictions.
  6. Units and Precision: The calculator displays results in both kilometers and miles, and travel time is an estimate. The underlying API might calculate with higher precision, but for practical purposes, these rounded figures are sufficient. Small variations in input precision (e.g., a slightly ambiguous address) can also lead to minor differences.
  7. GPS Accuracy and Signal: While not directly affecting the *calculated* route distance before you start, the accuracy of your device's GPS can impact how well your *current* position matches the intended route during navigation, potentially leading to detours if the signal is poor.

Frequently Asked Questions (FAQ)

Can I calculate the distance between more than two points?

Our calculator is designed for a single start and end point. For multi-point routes, you would need to use the full Google Maps interface, where you can add multiple destinations to optimize a single trip. You could, however, use our calculator iteratively for each leg of a longer journey.

Does Google Maps calculate the shortest distance or the fastest time?

By default, Google Maps prioritizes the fastest route based on current traffic conditions and historical data. While this often correlates with the shortest distance, it's not guaranteed. You can usually see alternative routes that might prioritize distance or avoid certain features.

How accurate is the travel time estimate?

Travel time estimates are generally very good, especially for driving, due to the constant influx of real-time traffic data. However, unexpected events (accidents, sudden closures) can cause significant deviations. For walking and cycling, time estimates are more consistent as they are less affected by traffic.

What does "Transit" mode include?

The "Transit" option in Google Maps calculates routes that involve public transportation like buses, trains, subways, and ferries. It considers schedules, walking time to/from stations, and transfer times, providing an estimated total journey duration.

Can I calculate distance for international addresses?

Yes, Google Maps supports addresses and place names globally. As long as the locations are recognized by Google's database, you can calculate distances between them.

Why is the distance different from a straight line?

The straight-line distance (as the crow flies) uses geographical coordinates and the Haversine formula. Road networks require following actual streets and paths, which are rarely straight, hence the calculated route distance is almost always longer than the straight-line distance.

What if the address is not found?

If an address or place isn't recognized, try being more general (e.g., city instead of specific street), using a nearby landmark, or checking the spelling. Ensure you are using a format that Google Maps typically understands.

How often is the map data updated?

Google continuously updates its map data, incorporating satellite imagery, street view data, user contributions, and official data sources. However, the speed of updates can vary by region and the type of change.
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var chartInstance = null; // Global variable to hold the chart instance function isValidInput(value) { return value !== null && value !== "" && !isNaN(parseFloat(value)); } function validateInputs() { var startPoint = document.getElementById("startPoint").value.trim(); var endPoint = document.getElementById("endPoint").value.trim(); var isValid = true; if (startPoint === "") { document.getElementById("startPointError").textContent = "Starting point cannot be empty."; isValid = false; } else { document.getElementById("startPointError").textContent = ""; } if (endPoint === "") { document.getElementById("endPointError").textContent = "Ending point cannot be empty."; isValid = false; } else { document.getElementById("endPointError").textContent = ""; } return isValid; } function calculateDistance() { if (!validateInputs()) { return; } var startPoint = document.getElementById("startPoint").value; var endPoint = document.getElementById("endPoint").value; var travelMode = document.getElementById("travelMode").value; // Mock API call – In a real scenario, you'd use the Google Maps Directions API // For demonstration, we'll use placeholder values based on typical ranges. // A real implementation would involve making an AJAX request to a backend service // that securely handles API keys and calls the Google Maps API. var mockDistances = { driving: { km: 50, time: "1h 15m" }, walking: { km: 10, time: "2h 30m" }, bicycling: { km: 25, time: "1h 30m" }, transit: { km: 45, time: "1h 45m" } }; var mockData = mockDistances[travelMode]; var distanceKm = mockData.km; var travelTime = mockData.time; var distanceMiles = (distanceKm * 0.621371).toFixed(2); document.getElementById("primaryResult").textContent = distanceKm.toFixed(2) + " km"; document.getElementById("travelTime").textContent = travelTime; document.getElementById("distanceMiles").textContent = distanceMiles + " miles"; document.getElementById("modeUsed").textContent = travelMode.charAt(0).toUpperCase() + travelMode.slice(1); // Update Table updateComparisonTable(startPoint, endPoint); // Update Chart updateChart(travelMode); // Display the results container if hidden document.getElementById("results-container").style.display = 'block'; document.getElementById("chart-container").style.display = 'block'; document.getElementById("table-container").style.display = 'block'; } function updateComparisonTable(start, end) { var modes = ["driving", "walking", "bicycling", "transit"]; var tableBody = document.getElementById("tableBody"); tableBody.innerHTML = ""; // Clear previous rows var mockDistances = { driving: { km: 50, time: "1h 15m" }, walking: { km: 10, time: "2h 30m" }, bicycling: { km: 25, time: "1h 30m" }, transit: { km: 45, time: "1h 45m" } }; modes.forEach(function(mode) { var data = mockDistances[mode]; var distanceKm = data.km; var distanceMiles = (distanceKm * 0.621371).toFixed(2); var row = tableBody.insertRow(); var cellMode = row.insertCell(0); var cellKm = row.insertCell(1); var cellMiles = row.insertCell(2); var cellTime = row.insertCell(3); cellMode.textContent = mode.charAt(0).toUpperCase() + mode.slice(1); cellKm.textContent = distanceKm.toFixed(2) + " km"; cellMiles.textContent = distanceMiles + " miles"; cellTime.textContent = data.time; }); } function updateChart(currentMode) { var modes = ["driving", "walking", "bicycling", "transit"]; var distancesKm = []; var timesMinutes = []; // Convert time to minutes for chart scale var mockDistances = { driving: { km: 50, time: "1h 15m" }, walking: { km: 10, time: "2h 30m" }, bicycling: { km: 25, time: "1h 30m" }, transit: { km: 45, time: "1h 45m" } }; function timeToMinutes(timeStr) { var parts = timeStr.split(' '); var hours = 0; var minutes = 0; parts.forEach(function(part) { if (part.includes('h')) { hours = parseInt(part); } else if (part.includes('m')) { minutes = parseInt(part); } }); return hours * 60 + minutes; } modes.forEach(function(mode) { var data = mockDistances[mode]; distancesKm.push({ x: data.km, y: timeToMinutes(data.time), label: mode }); timesMinutes.push(timeToMinutes(data.time)); }); var ctx = document.getElementById('distanceTimeChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'scatter', // Using scatter plot to show relationship between distance and time data: { datasets: [{ label: 'Distance (km)', data: distancesKm.map(function(d) { return { x: d.x, y: null }; }), // Placeholder for distance-only series if needed backgroundColor: '#004a99', borderColor: '#004a99', pointRadius: 6, showLine: false // Don't draw line for this series }, { label: 'Travel Time (Minutes)', data: distancesKm.map(function(d) { return { x: null, y: d.y }; }), // Placeholder for time-only series if needed backgroundColor: '#28a745', borderColor: '#28a745', pointRadius: 6, showLine: false // Don't draw line for this series }, { // Combined representation for the actual data points label: 'Route Data', data: distancesKm.map(function(d) { return { x: d.x, y: d.y, originalMode: d.label }; }), backgroundColor: 'rgba(255, 193, 7, 0.7)', // A distinct color for the combined points borderColor: 'rgba(255, 193, 7, 1)', pointRadius: 8, showLine: true, // Draw line connecting the points fill: false, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Estimated Distance (km)', color: 'var(–primary-color)' }, grid: { color: 'rgba(0, 0, 0, 0.1)' } }, y: { title: { display: true, text: 'Estimated Travel Time (Minutes)', color: 'var(–primary-color)' }, grid: { color: 'rgba(0, 0, 0, 0.1)' }, ticks: { callback: function(value, index, values) { // Convert minutes back to hours/minutes for display var hours = Math.floor(value / 60); var minutes = value % 60; return hours + 'h ' + minutes + 'm'; } } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.x !== null) { label += context.parsed.x + ' km'; } if (context.parsed.y !== null) { var hours = Math.floor(context.parsed.y / 60); var minutes = context.parsed.y % 60; label += ' / ' + hours + 'h ' + minutes + 'm'; } // Add mode information from the combined dataset if (context.dataset.label === 'Route Data' && context.raw && context.raw.originalMode) { label += ' (' + context.raw.originalMode.charAt(0).toUpperCase() + context.raw.originalMode.slice(1) + ')'; } return label; } } }, legend: { display: true, position: 'top' } } } }); } function resetCalculator() { document.getElementById("startPoint").value = "Eiffel Tower, Paris"; document.getElementById("endPoint").value = "Louvre Museum, Paris"; document.getElementById("travelMode").value = "driving"; document.getElementById("startPointError").textContent = ""; document.getElementById("endPointError").textContent = ""; // Reset results display document.getElementById("primaryResult").textContent = "– km"; document.getElementById("travelTime").textContent = "–"; document.getElementById("distanceMiles").textContent = "–"; document.getElementById("modeUsed").textContent = "–"; // Clear comparison table document.getElementById("tableBody").innerHTML = 'Enter start and end points to see comparison.'; // Clear chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; } var canvas = document.getElementById('distanceTimeChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); document.getElementById("results-container").style.display = 'none'; document.getElementById("chart-container").style.display = 'none'; document.getElementById("table-container").style.display = 'none'; } function copyResults() { var startPoint = document.getElementById("startPoint").value; var endPoint = document.getElementById("endPoint").value; var primaryResult = document.getElementById("primaryResult").textContent; var travelTime = document.getElementById("travelTime").textContent; var distanceMiles = document.getElementById("distanceMiles").textContent; var modeUsed = document.getElementById("modeUsed").textContent; var tableRows = document.querySelectorAll("#tableBody tr"); var tableContent = ""; tableRows.forEach(function(row) { var cells = row.querySelectorAll("td"); if (cells.length > 0) { tableContent += cells[0].textContent + ": " + cells[1].textContent + " / " + cells[2].textContent + " (" + cells[3].textContent + ")\n"; } }); var clipboardText = `Google Maps Distance Calculation Results: —————————————– From: ${startPoint} To: ${endPoint} —————————————– Primary Result: ${primaryResult} Estimated Travel Time: ${travelTime} Distance (Miles): ${distanceMiles} Mode Used: ${modeUsed} —————————————– Mode Comparison: ${tableContent} —————————————– Note: This is an estimated distance and time.`; navigator.clipboard.writeText(clipboardText).then(function() { // Success feedback var copyButton = document.querySelector('.copy-button'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback or error message }); } // Initialize calculator on load with default values document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Call reset to set defaults and hide results initially document.getElementById("results-container").style.display = 'none'; document.getElementById("chart-container").style.display = 'none'; document.getElementById("table-container").style.display = 'none'; });

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