A tabu search approach for scheduling hazmat shipments

Demand Point Aggregation Analaysis for Location Models

“…They concluded in such weather systems accident rates can be double. Carotenuto et al (2007) model a hazmat shipment routing and scheduling problem. They develop a tabu search algorithm to assign a minimum and equitable risk route to each hazmat shipment and schedule these shipments on the assigned routes.…”

“…-Greedy algorithm (GD) -Randomized Greedy algorithm (RGD) Carotenuto et al (2007) implemented a Tabu Search algorithm for scheduling and routing of HazMat transportation. They focus on scheduling to decrease traffic volume of HazMat transportation as well as on a network road.…”

“…They devise a single objective particle swarm optimizer (PSO) and a bi-objective PSO to solve this problem. Carotenuto et al (2007) For finding minimum and equitable risk routes for HazMat shipment present a mathematical model and solved with Lagrangian relaxation and two heuristic algorithms based on the Yen's k-shortest path:…”

Developing a chaotic pattern of dynamic Hazmat routing problem

“…While the risk of spreading Hazmat in accidents and transport cost are considered as the main attributes for developing a mathematical model to determine the optimal assignment of truck flow within transportation, minimizing the weighted combination of objectives is also observed in the literature [5]. Dependency of travel time and risk associated to road network upon road traffic measures [6], road geometric designs [7,4], weather condition [8] and safety regulations which are imposed on drivers and transport companies [9] are also known as attributes in Hazmat routing problems. Population [5,10,11], environment [8,[11][12][13] and accident [1,5,7,9,14] are the main apprehensions to define risk associated with Hazmat incident impacts.…”

“…Dependency of travel time and risk associated to road network upon road traffic measures [6], road geometric designs [7,4], weather condition [8] and safety regulations which are imposed on drivers and transport companies [9] are also known as attributes in Hazmat routing problems. Population [5,10,11], environment [8,[11][12][13] and accident [1,5,7,9,14] are the main apprehensions to define risk associated with Hazmat incident impacts. Specified regional networks which have been assigned by local authorities for Hazmat transportation, particularly for better enforcement and improving road safety, lead researchers to solve Hazmat routing problem [15][16][17][18] under network constraints.…”