arXiv AI By Tanghui Li

LegalFarePlan: A Label-Setting Framework for Fare-Transparent Urban Rail Route Planning under Non-Additive Fare Rules

Read the original on arXiv AI →

arXiv:2607. 09755v1 Announce Type: new Abstract: Urban rail fare systems may be non-additive: the fare of a single paid journey from an origin to a destination can differ from the sum of fares over multiple legally separated journey legs.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Jun 2

TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents

arXiv:2606. 01046v1 Announce Type: new Abstract: The development of Large Language Models (LLMs) has significantly improved travel planning applications, yet evaluating such models is limited by existing benchmarks' limitations: 1) overemphasis on constraint compliance, neglecting multi-dimensional qualities like spatio-temporal cost; 2) datasets lacking real-world authenticity and coverage in key areas (e.

By Weiyi Chen, Shuaixiong Wang, Ziyun Gao, Kaichun Hu, Wangze Ni, Shimin Di, Chen Jason Zhang, Lei Chen
arXiv AI
Sep 4

Counterfactual Routing Using Integer Programming with Constraint Generation

The paper "Counterfactual Routing Using Integer Programming with Constraint Generation" presents a solution to the IJCAI 2025 Counterfactual Routing Competition. The authors model the problem as an integer program and iteratively add constraints until an exact solution is found. In evaluation on held‑out test instances, their method ranked fourth in solution quality and was the fastest, averaging 9.0 seconds versus 118.8 seconds for the next‑fastest submission.

By Dani\"el Vos, Sterre Lutz