After 15 year in high performance computing and computational biology, I joined OCTO Technology, a blasting consulting firm in Lausanne (www.octo.ch).
allDelays = d3.tsv('https://raw.githubusercontent.com/alexmasselot/swiss-transport-data/master/data/SELECT_sm_operating_day_as_operating_day-'+selectedDay+'.tsv')
.then((rows)=>{
return _.chain(rows)
.filter((r) =>{
if(!railwayNetwork.connections[r.stop_id_0] || ! railwayNetwork.connections[r.stop_id_0][r.stop_id_1]){
//console.log(r.stop_name_0, r.stop_name_1)
//console.log(r.stop_id_0, r.stop_id_1)
return false
}
return true
})
.each((r,i)=>{
r.operating_day = r.operating_day?moment(parseInt(r.operating_day)*1000):undefined
r.arrival_time_0 = r.arrival_time_0?(parseInt(r.arrival_time_0)*1000):undefined
r.arrival_time_1 = r.arrival_time_1?(parseInt(r.arrival_time_1)*1000):undefined
r.departure_time_0 = r.departure_time_0?(parseInt(r.departure_time_0)*1000):undefined
r.departure_actual_0 = r.departure_actual_0?(parseInt(r.departure_actual_0)*1000):undefined
r.time_0 = r.arrival_time_0 || r.departure_time_0
r.arrival_actual_0 = r.arrival_actual_0?(parseInt(r.arrival_actual_0)*1000):undefined
r.actual_0 = r.arrival_actual_0 || r.departure_actual_0
r.arrival_actual_1 = r.arrival_actual_1?(parseInt(r.arrival_actual_1)*1000):undefined
r.lat_0 = parseFloat(r.lat_0)
r.lon_0 = parseFloat(r.lon_0)
r.lat_1 = parseFloat(r.lat_1)
r.lon_1 = parseFloat(r.lon_1)
r.path = railwayNetwork.connections[r.stop_id_0][r.stop_id_1]
r.arrival_delta_seconds_1 = parseFloat(r.arrival_delta_seconds_1)
r.key = i
r.is_cancelled = r.is_cancelled === 'true'
r.is_additional_driving = r.is_additional_driving === 'true'
})
.value()
})
d3Update = ()=>{
elClock.text(moment(selectedTimestamp).format('k:mm'))
const line = d3.line()
.x((p) => map.latLngToLayerPoint(L.latLng(p.lat, p.lon)).x)
.y((p)=> map.latLngToLayerPoint(L.latLng(p.lat, p.lon)).y)
gTrainPos.selectAll('path.segment')
.attr('d', (d) => line(d.curPos.schedPath))
gTrainPos.selectAll('circle.train')
.attr('cx', (d) => map.latLngToLayerPoint(L.latLng(d.curPos.lat, d.curPos.lon)).x)
.attr('cy', (d) => map.latLngToLayerPoint(L.latLng(d.curPos.lat, d.curPos.lon)).y)
gHisto.selectAll('rect.histo-bar')
.attr('y', (v) => {
return histoYScale(1-v.pc)
})
.attr('height', (v) => {
return histoYScale(v.pc)
})
elCancelled.text(stats.cancelled.count)
}
{
updateDelays(selectedTimestamp)
d3Enter()
d3Update()
}
map = {
let m = L.map(mapContainer,
{
zoomControl: false,
dragging: false,
boxZoom:false,
keyboard:false,
boxZoom:false,
scrollWheelZoom: false,
touchZoom:false
});
yield m
let osmLayer = L.tileLayer('https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}@2x.png', {
attribution: '© <a href="http://osm.org/copyright">OpenStreetMap</a> contributors'
}).addTo(m);
m.fitBounds([
[45.90,6.0141006],
[47.7247412,10.1079157]
]);
}
svg = d3.select(map.getPanes().overlayPane)
.append('svg')
.attr('height', map.getSize().y)
.attr('width', map.getSize().x)
dataLegend = [
{
delay:0,
text:'on time (<3 min)'
},
{
delay:4,
text:'slightly late (3-6 min)'
},
{
delay:7,
text:'late (>=6 min)'
}
]
elLegend = gLegend.selectAll('g.legend')
.data(dataLegend)
.enter()
.append('g')
.classed('legend', true)
.attr('transform', (undefined, i)=>'translate(0,'+(16*i)+')')
{
elLegend.append('line')
.attr('x1', 0 )
.attr('x2', (d) => d.delay*4)
.attr('y1',-3)
.attr('y2',-3)
.attr('r', (d) => radiusDelay(60*4))
.style('fill', 'black')
.attr('stroke', (d) => colorDelay(60*d.delay))
.attr('stroke-width', 2)
elLegend.append('circle')
.attr('cx', 0)
.attr('cy', -3)
.attr('r', (d) => radiusDelay(60*d.delay))
.style('fill', (d) => colorDelay(60*d.delay))
elLegend.append('text')
.attr('x', 36)
.text((d)=> d.text)
const gLine = gLegend.append('g')
.attr('transform', 'translate(0, '+(16*3)+')')
gLine.append('text')
.attr('x', -5)
.style('font-style', 'italic')
.text('line length: scheduled vs. actual lag')
}
gClock = svg
.append('g')
.classed('clock', true)
.attr('transform', 'translate('+(70+width/10+width/80)+', '+(width/15)+')')
elClock = gClock.append('text')
.style('font-size', 10+(width/40)+'pt')
.style('font-weight', 'bolder')
.style('opacity', 0.4)
.style('text-anchor', 'end')
stats = {
let h = []
_.times(15, (i) => h[i]={pc:0})
return {
histogramDelayPerMinute:h,
cancelled:{
count:0
}
}
}
gCancelled = svg
.append('g')
.classed('cancelles', true)
.attr('transform', 'translate('+(70+width/10+width/80)+', '+(width/8)+')')
elCancelled = {
const el = gCancelled.append('text')
.style('font-size', '400%')
.style('font-weight', 'bold')
.style('opacity', 0.5)
.style('fill', 'red')
.style('text-anchor', 'end')
yield el
gCancelled.append('text')
.attr('x',0)
.attr('y', 13)
.text('cancelled trains')
.style('font-weight', 'bold')
.style('opacity', 0.5)
.style('fill', 'red')
.style('text-anchor', 'end')
}
gHisto = svg.append('g')
.classed('histo', true)
.attr('transform', 'translate('+(width/80)+', -30)')
histoYScale = d3.scaleLinear()
.range([0, 200])
.domain([0, 1])
elHisto = {
const w = 70+width/10
const xScale = d3.scaleLinear()
.range([0, w])
.domain([0, stats.histogramDelayPerMinute.length+1])
gHisto.selectAll('rect.histo-bar').remove()
gHisto.selectAll('g.axis').remove()
const gAxis = gHisto.append("g")
.classed('axis', true)
.attr("transform", 'translate(0, ' + histoYScale(1)+ ')')
gAxis.call(d3.axisBottom(xScale)
.tickValues([0, 3, 6, 16])
)
gAxis.append('text')
.attr('x', w/2)
.attr('y', 30)
.style('fill','black')
.style('font-size', '10pt')
.text('delay distribution (per min)')
return gHisto.selectAll('rect.histo-bar')
.data(stats.histogramDelayPerMinute)
.enter()
.append('rect')
.classed('histo-bar', true)
.attr('x', (undefined, i) => xScale(i))
.attr('width', xScale(1))
.attr('fill', (undefined, i) => colorDelay(i*60))
}
gTrainPos = svg.append('g').classed('train-positions', true)
colorDelay=(delay)=>{
if(delay < 180){
return '#3182bd'
}
if(delay < 360){
return '#fec44f'
}
return '#d95f0e'
}
radiusDelay=(delay)=>{
if(delay < 180){
return 1+width/400
}
if(delay < 360){
return 1.5+width/300
}
return 2 +width/250
}
d3Enter = () => {
gTrainPos.selectAll('path.segment').remove();
gTrainPos.selectAll('path.segment')
.data(_.filter(currentDelays, (d)=> d.arrival_delta_seconds_1>180))
.enter()
.append('path')
.classed('segment', true)
.attr('stroke-width', 2)
.attr('stroke', (d) => colorDelay(d.arrival_delta_seconds_1))
.style('fill', 'none')
.exit()
.remove()
gTrainPos.selectAll('circle.train').remove()
gTrainPos.selectAll('circle.train')
.data(currentDelays)
.enter()
.append('circle')
.classed('train', true)
.attr('r', (d) => radiusDelay(d.arrival_delta_seconds_1))
.attr('fill', (d) => colorDelay(d.arrival_delta_seconds_1))
.exit()
.remove()
}
updateDelays = (ts)=>{
let interp = (x0, x1, t0, t1, ti) => {
if(x0 == x1){
return x0;
}
if(t0 == t1) {
return (x0+x1)/2
}
if(ti<t0){
ti=t0
}
if(ti>t1){
ti=t1
}
return x0 + (x1-x0)*(ti-t0)/(t1-t0)
}
currentDelays.length = 0
_.each(allDelays, (d)=>{
if(d.actual_0 <= ts && d.arrival_actual_1 >= ts){
currentDelays.push(d)
const ratioCur = (ts-d.actual_0)/(d.arrival_actual_1-d.actual_0)
const ratioSched = (ts+d.arrival_delta_seconds_1*1000-d.actual_0)/(d.arrival_actual_1-d.actual_0)
const pos = d.path.interpolatePosition(ratioCur)
const posSched = d.path.interpolatePosition(ratioSched)
d.curPos = {
lat : pos.lat,
lon : pos.lon,
schedPath : d.path.interpolatePartial(ratioCur, ratioSched)
}
}
})
const n = stats.histogramDelayPerMinute.length
_.times(n, (i)=> {stats.histogramDelayPerMinute[i].pc=0})
_.each(currentDelays, (d) => {
let i = Math.max(0, Math.floor(d.arrival_delta_seconds_1/60))
if(i>= n){
return
}
stats.histogramDelayPerMinute[i].pc+=1
})
const tot = currentDelays.length
_.times(n, (i)=> {stats.histogramDelayPerMinute[i].pc=stats.histogramDelayPerMinute[i].pc/tot});
stats.cancelled.count = _.chain(allDelays)
.filter('is_cancelled')
.filter((d) => d.time_0 <= selectedTimestamp && d.arrival_time_1 >= selectedTimestamp)
.size()
.value()
}
L = require('leaflet@1.3.4')
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