We introduce BO4Mob, a new benchmark framework for high-dimensional Bayesian Optimization (BO), driven by the challenge of origin-destination (OD) travel demand estimation in large urban road networks. Estimating OD travel demand from limited traffic sensor data is a difficult inverse optimization problem, particularly in real-world, large-scale transportation networks. This problem involves optimizing over high-dimensional continuous spaces where each objective evaluation is computationally expensive, stochastic, and non-differentiable. BO4Mob comprises five scenarios based on real-world San Jose, CA road networks, with input dimensions scaling up to 10,100. These scenarios utilize high-resolution, open-source traffic simulations that incorporate realistic nonlinear and stochastic dynamics. We demonstrate the benchmark's utility by evaluating five optimization methods: three state-of-the-art BO algorithms and two non-BO baselines. This benchmark is designed to support both the development of scalable optimization algorithms and their application for the design of data-driven urban mobility models, including high-resolution digital twins of metropolitan road networks.

A year ago, Air India flight 171 crashed less than a minute after taking off from Ahmedabad airport in the western Indian state of Gujarat, en route for London. The official investigation that followed has sparked intense controversy, in India and beyond, with some questioning its integrity amid claims of conflicts of interest. It is not the first time such an investigation has proved contentious. So is it time for a different approach when investigating air crashes? It was a hot and dry afternoon on 12 June last year, when Flight 171 left the terminal at Sardar Vallabhbhai Patel Airport in Ahmedabad. Settling into their seats for the nine-and-a-half-hour journey to London were 230 passengers, 53 of them British citizens. Looking after them were 10 cabin crew.

Existing GFlowNet-based methods for vehicle routing problems (VRPs) typically employ Trajectory Balance (TB) to achieve global optimization but often neglect important aspects of local optimization. While Detailed Balance (DB) addresses local optimization more effectively, it alone falls short in solving VRPs, which inherently require holistic trajectory optimization. To address these limitations, we introduce the Hybrid-Balance GFlowNet (HBG) framework, which uniquely integrates TB and DB in a principled and adaptive manner by aligning their intrinsically complementary strengths. Additionally, we propose a specialized inference strategy for depot-centric scenarios like the Capacitated Vehicle Routing Problem (CVRP), leveraging the depot node's greater flexibility in selecting successors. Despite this specialization, HBG maintains broad applicability, extending effectively to problems without explicit depots, such as the Traveling Salesman Problem (TSP). We evaluate HBG by integrating it into two established GFlowNet-based solvers, i.e., AGFN and GFACS, and demonstrate consistent and significant improvements across both CVRP and TSP, underscoring the enhanced solution quality and generalization afforded by our approach.

When you purchase through links in our articles, we may earn a small commission. Could private jets predict the end of the world? By monitoring more than 31,000 aircraft, this website looks for unusual private jet departures that might signal trouble ahead. The internet is full of curious projects, but Apocalypse Early Warning System might be one of the most curious. It takes a semi tongue-in-cheek approach to alerting us to the end of the world.

A Waymo nearly hit me, but I'm still optimistic about driverless cars A near miss with a Waymo while cycling through London hasn't changed my optimistic stance on driverless cars, but we can't ever let our guard down, says Matthew Sparkes Waymo driverless cars are in London, but is this a positive move for road safety? Waymo's driverless cars have been rolling through London for months, although they aren't taking passengers yet and a human sits ready to seize control if needed. Every time I've encountered them, they have seemed cautious and predictable. But recently, I had a near miss. I was circling a roundabout as I cycled home from work and a Waymo was about to pull onto it in front of me.

The automaker today is turning on vehicle-to-grid charging for its GM Energy customers. Will people actually use it? Some 250,000 electric vehicles manufactured by General Motors are driving around the US today--right now!--with an oft-secret capability: Their big, powerful batteries can charge other things. Potentially appliances, homes, and now, thanks to a software update pushed by the automaker this week, an electrical grid . Twelve of GM's EVs have this "bidirectional charging" capability, way more than US competitors' battery-electrics.

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With a competitive price, winning design, and better performance than the R1, Rivian could be set to break into the big leagues. Just make sure you get the right model with the right tech. For years, Rivian made one argument: Serious all-electric adventure vehicles had to cost serious money. The R1S, still one of the more capable off-roaders on any surface, starts at $75,900. The R2 is Rivian's answer to its own problem.

Massive twist in JPMorgan'sex slave' case as accuser unveils NEW dossier of wild claims: 'The story is about to change dramatically' Trump's return to New York City for historic NBA Finals game takes dramatic turn as White House reveals sweeping ICE plot When I lost 150lbs men did double-takes in the street. Then I handed my husband sexy photos of my new body and he barely looked, so I moved on. I used to only drink socially but after a bad break-up I started boozing every night and gorging myself on crisps - then I took this £3 pill... now both wine AND junk food taste awful and I have dropped to a size 8 Americans finally snap over'ridiculous' tipping culture as millions slash gratuities... and reveal the trick they are refusing to fall for Luigi Mangione's sister lands prized job at America's most prestigious hospital... as she makes bold public move before murder trial Incredible footage emerges of star-studded celebrity row from Knicks' last appearance in NBA Finals in 1999 Kim Kardashian'steals Monaco Grand Prix winner's TOWEL' on disastrous debut as an F1 WAG to Lewis Hamilton after snubbing iconic TV reporter Explosive new details of accused baby killer's sickening video confession... as glamorous PhD student makes grim bathroom claim after 13-hour interrogation MOLLY CLAYTON: Whispers in the paddock, and some VERY raised eyebrows: Why Kim Kardashian's first appearance with Lewis Hamilton at the Monaco Grand Prix is sending the rumour mill into overdrive... as his mother stays firmly away Kanye West's wife Bianca Censori almost pops out of her nude suit on his 49th birthday after she calls him her '4ever' Idaho murder victim's father reveals new account of chilling moment he came face-to-face with Bryan Kohberger: 'I want to hunt killers' Gilmore Girls star Alexis Bledel became a TV icon in her teens... see her now during rare red carpet appearance at age 44 US tourists are'tricked' into paying 44 euros for two ice creams in Rome Bill Gates's embarrassing secrets revealed by Epstein-linked mistress who Melinda HATED Uber's robotaxis arrive in the UK: Self-driving cars will be available in London this summer READ MORE: Waymo'goes rogue': Self-driving car wakes residents at 4am Uber has unveiled its fleet of self-driving robotaxis, which will soon take to the streets of London . Designed in collaboration with Wayve, the robotaxi is an all-electric Ford Mustang Mach-e, equipped with surround cameras and radar. The high-tech set-up allows Wayve's AI to see the world with full 360-degree visibility around the car at all times.

Proponents and critics of artificial intelligence often compare the technology to industrial automation--really, it's more like an intern. One summer during high school, I took a temporary job writing computer programs for a consulting firm. Each morning, I drove through rush-hour traffic to an office park near Princeton, New Jersey, on the crowded Route 1 corridor. At a desk in some sort of equipment room, I coded quick-and-dirty database tools for internal use. One of my programs simplified the process of logging hours into timesheets.