I want to know the progress in the field of multi-objective road planning and whether evolutionary algorithms are used in vehicular road planning applications.
There are huge number of studies done using evolutionary and swarm algorithms for Multi-objective Vehicle Routing Problem (VRP).
You can go through the following survey paper especially the reference list for more details on few latest evolutionary based studies on VRP.
The vehicle routing problem: State of the art classification and review
Article The Vehicle Routing Problem: State of the Art Classification...
Also, one of the variants of VRP, Pollution Routing Problem(PRP) is being well studied by many researchers these days. A recent study by Shukla et al. (2017) fromalizes multi-objective PRP considering the uncertainities in the parameters. They used fuzzy sets to model the uncertain parameter and solve it using a well-known Multi-objective evolutionary algorithm : NSGA-II (non-dominated sorting genetic algorithm-II).
NSGA-II based multi-objective pollution routing problem with higher order uncertainty(https://ieeexplore.ieee.org/abstract/document/8015668)
With the advancment in technologies, alternative energy and demand supply trade off, the VRP and its variants will remain ever young research problem. Therefore, this topic has a potential scope for resarch to find efficient solutions.