gps_noise 
GPS noise value (in meters) to remove redundant sample points. Use 1 to disable noise reduction. The default value accounts for 95% of point variation (+ or 5 meters). The default value is '5.0'. 
num_segments 
Maximum number of potentially matching road segments for each sample point. For the markov_chain solver, the default is 3. The default value is '3'. 
search_radius 
Maximum search radius used when snapping sample points onto potentially matching surrounding segments. The default value corresponds to approximately 100 meters. The default value is '0.001'. 
chain_width 
For the markov_chain solver only. Length of the sample points lookahead window within the Markov kernel; the larger the number, the more accurate the solution. The default value is '9'. 
source 
Optional WKT starting point from input parameter sample_points for the solver. The default behavior for the endpoint is to use time to determine the starting point. The default value is 'POINT NULL'. 
destination 
Optional WKT ending point from input parameter sample_points for the solver. The default behavior for the endpoint is to use time to determine the destination point. The default value is 'POINT NULL'. 
partial_loading 
For the match_supply_demand solver only. When false (nondefault), trucks do not offload at the demand (store) side if the remainder is less than the store's need The default value is true.
Supported
Values 
Description 
true 
Partial offloading at multiple store (demand) locations 
false 
No partial offloading allowed if supply is less than the store's demand. 

max_combinations 
For the match_supply_demand solver only. This is the cutoff for the number of generated combinations for sequencing the demand locations  can increase this up to 2M. The default value is '10000'. 
left_turn_penalty 
This will add an additonal weight over the edges labelled as 'left turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
right_turn_penalty 
This will add an additonal weight over the edges labelled as' right turn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
intersection_penalty 
This will add an additonal weight over the edges labelled as 'intersection' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
sharp_turn_penalty 
This will add an additonal weight over the edges labelled as 'sharp turn' or 'uturn' if the 'add_turn' option parameter of the /create/graph was invoked at graph creation. The default value is '0.0'. 
aggregated_output 
For the match_supply_demand solver only. When it is true (default), each record in the output table shows a particular truck's scheduled cumulative round trip path (MULTILINESTRING) and the corresponding aggregated cost. Otherwise, each record shows a single scheduled truck route (LINESTRING) towards a particular demand location (store id) with its corresponding cost. The default value is 'true'. 
output_tracks 
For the match_supply_demand solver only. When it is true (nondefault), the output will be in tracks format for all the round trips of each truck in which the timestamps are populated directly from the edge weights starting from their originating depots. The default value is 'false'. 
max_trip_cost 
For the match_supply_demand solver only. If this constraint is greater than zero (default) then the trucks will skip travelling from one demand location to another if the cost between them is greater than this number (distance or time). Zero (default) value means no check is performed. The default value is '0.0'. 
filter_folding_paths 
For the markov_chain solver only. When true (nondefault), the paths per sequence combination is checked for folding over patterns and can significantly increase the execution time depending on the chain width and the number of gps samples. The default value is false.
Supported
Values 
Description 
true 
Filter out the folded paths. 
false 
Do not filter out the folded paths 

unit_unloading_cost 
For the match_supply_demand solver only. The unit cost per load amount to be delivered. If this value is greater than zero (default) then the additional cost of this unit load multiplied by the total dropped load will be added over to the trip cost to the demand location. The default value is '0.0'. 
max_num_threads 
For the markov_chain solver only. If specified (greater than zero), the maximum number of threads will not be greater than the specified value. It can be lower due to the memory and the number cores available. Default value of zero allows the algorithm to set the maximal number of threads within these constraints. The default value is '0'. 
truck_service_limit 
For the match_supply_demand solver only. If specified (greater than zero), any truck's total service cost (distance or time) will be limited by the specified value including multiple rounds (if set). The default value is '0.0'. 
enable_truck_reuse 
For the match_supply_demand solver only. If specified (true), all trucks can be scheduled for second rounds from their originating depots. The default value is false.
Supported
Values 
Description 
true 
Allows reusing trucks for scheduling again. 
false 
Trucks are scheduled only once from their depots. 

max_truck_stops 
For the match_supply_demand solver only. If specified (greater than zero), a truck can at most have this many stops (demand locations) in one round trip. Otherwise, it is unlimited. If 'enable_truck_reuse' is on, this condition will be applied separately at each round trip use of the same truck. The default value is '0'. 
server_id 
Indicates which graph server(s) to send the request to. Default is to send to the server, amongst those containing the corresponding graph, that has the most computational bandwidth. The default value is ''. 
inverse_solve 
For the match_batch_solves solver only. Solves sourcedestination pairs using inverse shortest path solver. The default value is false.
Supported
Values 
Description 
true 
Solves using inverse shortest path solver. 
false 
Solves using direct shortest path solver. 

min_loop_level 
For the match_loops solver only. Finds closed loops around each node deducible not less than this minimal hop (level) deep. The default value is '0'. 
max_loop_level 
For the match_loops solver only. Finds closed loops around each node deducible not more than this maximal hop (level) deep. The default value is '5'. 
search_limit 
For the match_loops solver only. Searches within this limit of nodes per vertex to detect loops. The value zero means there is no limit. The default value is '10000'. 
output_batch_size 
For the match_loops solver only. Uses this value as the batch size of the number of loops in flushing(inserting) to the output table. The default value is '1000'. 
charging_capacity 
For the match_charging_stations solver only. This is the maximum evcharging capacity of a vehicle (distance in meters or time in seconds depending on the unit of the graph weights). The default value is '300000.0'. 
charging_candidates 
For the match_charging_stations solver only. Solver searches for this many number of stations closest around each base charging location found by capacity. The default value is '10'. 
charging_penalty 
For the match_charging_stations solver only. This is the penalty for full charging. The default value is '30000.0'. 