Rongcheng Jingtu Multi-Destination Route Planning Dataset: Distance and Air-Quality Matrices, Optimal Routes, and Benchmark Results

Rongcheng Jingtu is a health-aware navigation system for Chengdu that optimises multi-destination routes over a bi-objective cost combining driving distance and air-quality exposure. This record contains the complete research data, source code and experiment scripts supporting the accompanying study. Dataset contents (experiments/data/): path_details.json — distance matrices D and AQI exposure matrices A for instance sizes n = 5, 8, 10, 12 and 15, together with the optimal routes and costs produced by SCDP, Greedy and GA; raw_results.json — raw measurements behind Tables 1–7 (distance, AQI exposure, composite cost, runtime, functional tests); extra_algos_results.json — per-run results of the extended algorithm comparison; weight_sensitivity_data.json and weight_sensitivity_data_zh.json — weight-sweep data for the sensitivity analysis; hw_env.txt — hardware and software environment snapshot. Code and reproducibility: the record also includes the state-compressed dynamic programming solver (C++ with pybind11 bindings and a pure Python fallback), the Flask backend, the Vue 3 frontend and all experiment scripts. Random seeds (global seed 42; per-size seeds 47/361/52/54/57 for n = 5/8/10/12/15), hyper-parameters and reproduction commands are documented in README.md and experiments/README.md. License: MIT. Code and data are released for academic reuse with attribution.